Commit 4ef57406 by Abseil Team Committed by vslashg

Export of internal Abseil changes

--
3dbb096e4662311f81df1017a8e0975e903936cf by Derek Mauro <dmauro@google.com>:

Document and workaround a known MSVC bug doing constexpr pointer arithmetic

PiperOrigin-RevId: 262604652

--
b5fa7f1a0c776f6ba20d52772a1679ec42ad21fd by Derek Mauro <dmauro@google.com>:

Fix typo in macos_xcode_bazel.sh

PiperOrigin-RevId: 262591285

--
89dd77ab5bb44d76b6cb6b2f288e21536e16a85a by Derek Mauro <dmauro@google.com>:

Internal change

PiperOrigin-RevId: 262582747

--
32295ed9a0c6c8ab143a912194040eede05d3ea3 by Abseil Team <absl-team@google.com>:

Internal change

PiperOrigin-RevId: 262569140

--
7f0f5b94197369228024529022d727439d2c894f by Abseil Team <absl-team@google.com>:

Internal change

PiperOrigin-RevId: 262563554

--
314aed043639abbd221074125c57b7c68616de7e by Derek Mauro <dmauro@google.com>:

Release absl::btree

PiperOrigin-RevId: 262553526

--
72b44056c6ce9000c4a6cd9aec58b82067c82a13 by CJ Johnson <johnsoncj@google.com>:

Internal change

PiperOrigin-RevId: 262421185

--
4e2c12151edf534f929e8e810f1334073f90489a by Abseil Team <absl-team@google.com>:

Update documentation to make it less likely for users to write `Hours(24)` without considering using civil dates instead.

PiperOrigin-RevId: 262420758

--
92b85b9573e800bd96b019408eefbc5ce4f68780 by Derek Mauro <dmauro@google.com>:

Add the ability to override the bazel version in the macos_xcode_bazel.sh
test script.

PiperOrigin-RevId: 262412063
GitOrigin-RevId: 3dbb096e4662311f81df1017a8e0975e903936cf
Change-Id: I423b2b829dc0c5f814e37bec4d68c7470f43f041
parent 9ee91d3e
...@@ -825,3 +825,72 @@ cc_test( ...@@ -825,3 +825,72 @@ cc_test(
"@com_google_googletest//:gtest_main", "@com_google_googletest//:gtest_main",
], ],
) )
cc_library(
name = "btree",
srcs = [
"internal/btree.h",
"internal/btree_container.h",
],
hdrs = [
"btree_map.h",
"btree_set.h",
],
copts = ABSL_DEFAULT_COPTS,
linkopts = ABSL_DEFAULT_LINKOPTS,
visibility = ["//visibility:public"],
deps = [
":common",
":compressed_tuple",
":container_memory",
":layout",
"//absl/base:core_headers",
"//absl/base:throw_delegate",
"//absl/memory",
"//absl/meta:type_traits",
"//absl/strings",
"//absl/types:compare",
"//absl/utility",
],
)
cc_library(
name = "btree_test_common",
testonly = 1,
hdrs = ["btree_test.h"],
copts = ABSL_TEST_COPTS,
linkopts = ABSL_DEFAULT_LINKOPTS,
visibility = ["//visibility:private"],
deps = [
":btree",
":flat_hash_set",
"//absl/strings",
"//absl/time",
],
)
cc_test(
name = "btree_test",
size = "large",
srcs = [
"btree_test.cc",
],
copts = ABSL_TEST_COPTS + ["-fexceptions"],
linkopts = ABSL_DEFAULT_LINKOPTS,
shard_count = 10,
visibility = ["//visibility:private"],
deps = [
":btree",
":btree_test_common",
":counting_allocator",
":test_instance_tracker",
"//absl/base",
"//absl/flags:flag",
"//absl/hash:hash_testing",
"//absl/memory",
"//absl/meta:type_traits",
"//absl/strings",
"//absl/types:compare",
"@com_google_googletest//:gtest_main",
],
)
...@@ -25,6 +25,68 @@ absl_cc_library( ...@@ -25,6 +25,68 @@ absl_cc_library(
absl_cc_library( absl_cc_library(
NAME NAME
btree
HDRS
"btree_map.h"
"btree_set.h"
"internal/btree.h"
"internal/btree_container.h"
COPTS
${ABSL_DEFAULT_COPTS}
LINKOPTS
${ABSL_DEFAULT_LINKOPTS}
DEPS
absl::container_common
absl::compare
absl::compressed_tuple
absl::container_memory
absl::core_headers
absl::layout
absl::memory
absl::strings
absl::throw_delegate
absl::type_traits
absl::utility
)
absl_cc_library(
NAME
btree_test_common
hdrs
"btree_test.h"
COPTS
${ABSL_TEST_COPTS}
LINKOPTS
${ABSL_DEFAULT_LINKOPTS}
DEPS
absl::btree
absl::flat_hash_set
absl::strings
absl::time
TESTONLY
)
absl_cc_test(
NAME
btree_test
SRCS
"btree_test.cc"
DEPS
absl::base
absl::btree
absl::btree_test_common
absl::compare
absl::counting_allocator
absl::flags
absl::hash_testing
absl::strings
absl::test_instance_tracker
absl::type_traits
gmock_main
)
absl_cc_library(
NAME
compressed_tuple compressed_tuple
HDRS HDRS
"internal/compressed_tuple.h" "internal/compressed_tuple.h"
......
// Copyright 2018 The Abseil Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// -----------------------------------------------------------------------------
// File: btree_map.h
// -----------------------------------------------------------------------------
//
// This header file defines B-tree maps: sorted associative containers mapping
// keys to values.
//
// * `absl::btree_map<>`
// * `absl::btree_multimap<>`
//
// These B-tree types are similar to the corresponding types in the STL
// (`std::map` and `std::multimap`) and generally conform to the STL interfaces
// of those types. However, because they are implemented using B-trees, they
// are more efficient in most situations.
//
// Unlike `std::map` and `std::multimap`, which are commonly implemented using
// red-black tree nodes, B-tree maps use more generic B-tree nodes able to hold
// multiple values per node. Holding multiple values per node often makes
// B-tree maps perform better than their `std::map` counterparts, because
// multiple entries can be checked within the same cache hit.
//
// However, these types should not be considered drop-in replacements for
// `std::map` and `std::multimap` as there are some API differences, which are
// noted in this header file.
//
// Importantly, insertions and deletions may invalidate outstanding iterators,
// pointers, and references to elements. Such invalidations are typically only
// an issue if insertion and deletion operations are interleaved with the use of
// more than one iterator, pointer, or reference simultaneously. For this
// reason, `insert()` and `erase()` return a valid iterator at the current
// position.
#ifndef ABSL_CONTAINER_BTREE_MAP_H_
#define ABSL_CONTAINER_BTREE_MAP_H_
#include "absl/container/internal/btree.h" // IWYU pragma: export
#include "absl/container/internal/btree_container.h" // IWYU pragma: export
namespace absl {
// absl::btree_map<>
//
// An `absl::btree_map<K, V>` is an ordered associative container of
// unique keys and associated values designed to be a more efficient replacement
// for `std::map` (in most cases).
//
// Keys are sorted using an (optional) comparison function, which defaults to
// `std::less<K>`.
//
// An `absl::btree_map<K, V>` uses a default allocator of
// `std::allocator<std::pair<const K, V>>` to allocate (and deallocate)
// nodes, and construct and destruct values within those nodes. You may
// instead specify a custom allocator `A` (which in turn requires specifying a
// custom comparator `C`) as in `absl::btree_map<K, V, C, A>`.
//
template <typename Key, typename Value, typename Compare = std::less<Key>,
typename Alloc = std::allocator<std::pair<const Key, Value>>>
class btree_map
: public container_internal::btree_map_container<
container_internal::btree<container_internal::map_params<
Key, Value, Compare, Alloc, /*TargetNodeSize=*/256,
/*Multi=*/false>>> {
using Base = typename btree_map::btree_map_container;
public:
// Constructors and Assignment Operators
//
// A `btree_map` supports the same overload set as `std::map`
// for construction and assignment:
//
// * Default constructor
//
// absl::btree_map<int, std::string> map1;
//
// * Initializer List constructor
//
// absl::btree_map<int, std::string> map2 =
// {{1, "huey"}, {2, "dewey"}, {3, "louie"},};
//
// * Copy constructor
//
// absl::btree_map<int, std::string> map3(map2);
//
// * Copy assignment operator
//
// absl::btree_map<int, std::string> map4;
// map4 = map3;
//
// * Move constructor
//
// // Move is guaranteed efficient
// absl::btree_map<int, std::string> map5(std::move(map4));
//
// * Move assignment operator
//
// // May be efficient if allocators are compatible
// absl::btree_map<int, std::string> map6;
// map6 = std::move(map5);
//
// * Range constructor
//
// std::vector<std::pair<int, std::string>> v = {{1, "a"}, {2, "b"}};
// absl::btree_map<int, std::string> map7(v.begin(), v.end());
btree_map() {}
using Base::Base;
// btree_map::begin()
//
// Returns an iterator to the beginning of the `btree_map`.
using Base::begin;
// btree_map::cbegin()
//
// Returns a const iterator to the beginning of the `btree_map`.
using Base::cbegin;
// btree_map::end()
//
// Returns an iterator to the end of the `btree_map`.
using Base::end;
// btree_map::cend()
//
// Returns a const iterator to the end of the `btree_map`.
using Base::cend;
// btree_map::empty()
//
// Returns whether or not the `btree_map` is empty.
using Base::empty;
// btree_map::max_size()
//
// Returns the largest theoretical possible number of elements within a
// `btree_map` under current memory constraints. This value can be thought
// of as the largest value of `std::distance(begin(), end())` for a
// `btree_map<Key, T>`.
using Base::max_size;
// btree_map::size()
//
// Returns the number of elements currently within the `btree_map`.
using Base::size;
// btree_map::clear()
//
// Removes all elements from the `btree_map`. Invalidates any references,
// pointers, or iterators referring to contained elements.
using Base::clear;
// btree_map::erase()
//
// Erases elements within the `btree_map`. If an erase occurs, any references,
// pointers, or iterators are invalidated.
// Overloads are listed below.
//
// iterator erase(iterator position):
// iterator erase(const_iterator position):
//
// Erases the element at `position` of the `btree_map`, returning
// the iterator pointing to the element after the one that was erased
// (or end() if none exists).
//
// iterator erase(const_iterator first, const_iterator last):
//
// Erases the elements in the open interval [`first`, `last`), returning
// the iterator pointing to the element after the interval that was erased
// (or end() if none exists).
//
// template <typename K> size_type erase(const K& key):
//
// Erases the element with the matching key, if it exists, returning the
// number of elements erased.
using Base::erase;
// btree_map::insert()
//
// Inserts an element of the specified value into the `btree_map`,
// returning an iterator pointing to the newly inserted element, provided that
// an element with the given key does not already exist. If an insertion
// occurs, any references, pointers, or iterators are invalidated.
// Overloads are listed below.
//
// std::pair<iterator,bool> insert(const value_type& value):
//
// Inserts a value into the `btree_map`. Returns a pair consisting of an
// iterator to the inserted element (or to the element that prevented the
// insertion) and a bool denoting whether the insertion took place.
//
// std::pair<iterator,bool> insert(value_type&& value):
//
// Inserts a moveable value into the `btree_map`. Returns a pair
// consisting of an iterator to the inserted element (or to the element that
// prevented the insertion) and a bool denoting whether the insertion took
// place.
//
// iterator insert(const_iterator hint, const value_type& value):
// iterator insert(const_iterator hint, value_type&& value):
//
// Inserts a value, using the position of `hint` as a non-binding suggestion
// for where to begin the insertion search. Returns an iterator to the
// inserted element, or to the existing element that prevented the
// insertion.
//
// void insert(InputIterator first, InputIterator last):
//
// Inserts a range of values [`first`, `last`).
//
// void insert(std::initializer_list<init_type> ilist):
//
// Inserts the elements within the initializer list `ilist`.
using Base::insert;
// btree_map::emplace()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_map`, provided that no element with the given key
// already exists.
//
// The element may be constructed even if there already is an element with the
// key in the container, in which case the newly constructed element will be
// destroyed immediately. Prefer `try_emplace()` unless your key is not
// copyable or moveable.
//
// If an insertion occurs, any references, pointers, or iterators are
// invalidated.
using Base::emplace;
// btree_map::emplace_hint()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_map`, using the position of `hint` as a non-binding
// suggestion for where to begin the insertion search, and only inserts
// provided that no element with the given key already exists.
//
// The element may be constructed even if there already is an element with the
// key in the container, in which case the newly constructed element will be
// destroyed immediately. Prefer `try_emplace()` unless your key is not
// copyable or moveable.
//
// If an insertion occurs, any references, pointers, or iterators are
// invalidated.
using Base::emplace_hint;
// btree_map::try_emplace()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_map`, provided that no element with the given key
// already exists. Unlike `emplace()`, if an element with the given key
// already exists, we guarantee that no element is constructed.
//
// If an insertion occurs, any references, pointers, or iterators are
// invalidated.
//
// Overloads are listed below.
//
// std::pair<iterator, bool> try_emplace(const key_type& k, Args&&... args):
// std::pair<iterator, bool> try_emplace(key_type&& k, Args&&... args):
//
// Inserts (via copy or move) the element of the specified key into the
// `btree_map`.
//
// iterator try_emplace(const_iterator hint,
// const key_type& k, Args&&... args):
// iterator try_emplace(const_iterator hint, key_type&& k, Args&&... args):
//
// Inserts (via copy or move) the element of the specified key into the
// `btree_map` using the position of `hint` as a non-binding suggestion
// for where to begin the insertion search.
using Base::try_emplace;
// btree_map::extract()
//
// Extracts the indicated element, erasing it in the process, and returns it
// as a C++17-compatible node handle. Overloads are listed below.
//
// node_type extract(const_iterator position):
//
// Extracts the element at the indicated position and returns a node handle
// owning that extracted data.
//
// template <typename K> node_type extract(const K& x):
//
// Extracts the element with the key matching the passed key value and
// returns a node handle owning that extracted data. If the `btree_map`
// does not contain an element with a matching key, this function returns an
// empty node handle.
//
// NOTE: In this context, `node_type` refers to the C++17 concept of a
// move-only type that owns and provides access to the elements in associative
// containers (https://en.cppreference.com/w/cpp/container/node_handle).
// It does NOT refer to the data layout of the underlying btree.
using Base::extract;
// btree_map::merge()
//
// Extracts elements from a given `source` btree_map into this
// `btree_map`. If the destination `btree_map` already contains an
// element with an equivalent key, that element is not extracted.
using Base::merge;
// btree_map::swap(btree_map& other)
//
// Exchanges the contents of this `btree_map` with those of the `other`
// btree_map, avoiding invocation of any move, copy, or swap operations on
// individual elements.
//
// All iterators and references on the `btree_map` remain valid, excepting
// for the past-the-end iterator, which is invalidated.
using Base::swap;
// btree_map::at()
//
// Returns a reference to the mapped value of the element with key equivalent
// to the passed key.
using Base::at;
// btree_map::contains()
//
// template <typename K> bool contains(const K& key) const:
//
// Determines whether an element comparing equal to the given `key` exists
// within the `btree_map`, returning `true` if so or `false` otherwise.
//
// Supports heterogeneous lookup, provided that the map is provided a
// compatible heterogeneous comparator.
using Base::contains;
// btree_map::count()
//
// template <typename K> size_type count(const K& key) const:
//
// Returns the number of elements comparing equal to the given `key` within
// the `btree_map`. Note that this function will return either `1` or `0`
// since duplicate elements are not allowed within a `btree_map`.
//
// Supports heterogeneous lookup, provided that the map is provided a
// compatible heterogeneous comparator.
using Base::count;
// btree_map::equal_range()
//
// Returns a closed range [first, last], defined by a `std::pair` of two
// iterators, containing all elements with the passed key in the
// `btree_map`.
using Base::equal_range;
// btree_map::find()
//
// template <typename K> iterator find(const K& key):
// template <typename K> const_iterator find(const K& key) const:
//
// Finds an element with the passed `key` within the `btree_map`.
//
// Supports heterogeneous lookup, provided that the map is provided a
// compatible heterogeneous comparator.
using Base::find;
// btree_map::operator[]()
//
// Returns a reference to the value mapped to the passed key within the
// `btree_map`, performing an `insert()` if the key does not already
// exist.
//
// If an insertion occurs, any references, pointers, or iterators are
// invalidated. Otherwise iterators are not affected and references are not
// invalidated. Overloads are listed below.
//
// T& operator[](key_type&& key):
// T& operator[](const key_type& key):
//
// Inserts a value_type object constructed in-place if the element with the
// given key does not exist.
using Base::operator[];
// btree_map::get_allocator()
//
// Returns the allocator function associated with this `btree_map`.
using Base::get_allocator;
// btree_map::key_comp();
//
// Returns the key comparator associated with this `btree_map`.
using Base::key_comp;
// btree_map::value_comp();
//
// Returns the value comparator associated with this `btree_map`.
using Base::value_comp;
};
// absl::swap(absl::btree_map<>, absl::btree_map<>)
//
// Swaps the contents of two `absl::btree_map` containers.
template <typename K, typename V, typename C, typename A>
void swap(btree_map<K, V, C, A> &x, btree_map<K, V, C, A> &y) {
return x.swap(y);
}
// absl::btree_multimap
//
// An `absl::btree_multimap<K, V>` is an ordered associative container of
// keys and associated values designed to be a more efficient replacement for
// `std::multimap` (in most cases). Unlike `absl::btree_map`, a B-tree multimap
// allows multiple elements with equivalent keys.
//
// Keys are sorted using an (optional) comparison function, which defaults to
// `std::less<K>`.
//
// An `absl::btree_multimap<K, V>` uses a default allocator of
// `std::allocator<std::pair<const K, V>>` to allocate (and deallocate)
// nodes, and construct and destruct values within those nodes. You may
// instead specify a custom allocator `A` (which in turn requires specifying a
// custom comparator `C`) as in `absl::btree_multimap<K, V, C, A>`.
//
template <typename Key, typename Value, typename Compare = std::less<Key>,
typename Alloc = std::allocator<std::pair<const Key, Value>>>
class btree_multimap
: public container_internal::btree_multimap_container<
container_internal::btree<container_internal::map_params<
Key, Value, Compare, Alloc, /*TargetNodeSize=*/256,
/*Multi=*/true>>> {
using Base = typename btree_multimap::btree_multimap_container;
public:
// Constructors and Assignment Operators
//
// A `btree_multimap` supports the same overload set as `std::multimap`
// for construction and assignment:
//
// * Default constructor
//
// absl::btree_multimap<int, std::string> map1;
//
// * Initializer List constructor
//
// absl::btree_multimap<int, std::string> map2 =
// {{1, "huey"}, {2, "dewey"}, {3, "louie"},};
//
// * Copy constructor
//
// absl::btree_multimap<int, std::string> map3(map2);
//
// * Copy assignment operator
//
// absl::btree_multimap<int, std::string> map4;
// map4 = map3;
//
// * Move constructor
//
// // Move is guaranteed efficient
// absl::btree_multimap<int, std::string> map5(std::move(map4));
//
// * Move assignment operator
//
// // May be efficient if allocators are compatible
// absl::btree_multimap<int, std::string> map6;
// map6 = std::move(map5);
//
// * Range constructor
//
// std::vector<std::pair<int, std::string>> v = {{1, "a"}, {2, "b"}};
// absl::btree_multimap<int, std::string> map7(v.begin(), v.end());
btree_multimap() {}
using Base::Base;
// btree_multimap::begin()
//
// Returns an iterator to the beginning of the `btree_multimap`.
using Base::begin;
// btree_multimap::cbegin()
//
// Returns a const iterator to the beginning of the `btree_multimap`.
using Base::cbegin;
// btree_multimap::end()
//
// Returns an iterator to the end of the `btree_multimap`.
using Base::end;
// btree_multimap::cend()
//
// Returns a const iterator to the end of the `btree_multimap`.
using Base::cend;
// btree_multimap::empty()
//
// Returns whether or not the `btree_multimap` is empty.
using Base::empty;
// btree_multimap::max_size()
//
// Returns the largest theoretical possible number of elements within a
// `btree_multimap` under current memory constraints. This value can be
// thought of as the largest value of `std::distance(begin(), end())` for a
// `btree_multimap<Key, T>`.
using Base::max_size;
// btree_multimap::size()
//
// Returns the number of elements currently within the `btree_multimap`.
using Base::size;
// btree_multimap::clear()
//
// Removes all elements from the `btree_multimap`. Invalidates any references,
// pointers, or iterators referring to contained elements.
using Base::clear;
// btree_multimap::erase()
//
// Erases elements within the `btree_multimap`. If an erase occurs, any
// references, pointers, or iterators are invalidated.
// Overloads are listed below.
//
// iterator erase(iterator position):
// iterator erase(const_iterator position):
//
// Erases the element at `position` of the `btree_multimap`, returning
// the iterator pointing to the element after the one that was erased
// (or end() if none exists).
//
// iterator erase(const_iterator first, const_iterator last):
//
// Erases the elements in the open interval [`first`, `last`), returning
// the iterator pointing to the element after the interval that was erased
// (or end() if none exists).
//
// template <typename K> size_type erase(const K& key):
//
// Erases the elements matching the key, if any exist, returning the
// number of elements erased.
using Base::erase;
// btree_multimap::insert()
//
// Inserts an element of the specified value into the `btree_multimap`,
// returning an iterator pointing to the newly inserted element.
// Any references, pointers, or iterators are invalidated. Overloads are
// listed below.
//
// iterator insert(const value_type& value):
//
// Inserts a value into the `btree_multimap`, returning an iterator to the
// inserted element.
//
// iterator insert(value_type&& value):
//
// Inserts a moveable value into the `btree_multimap`, returning an iterator
// to the inserted element.
//
// iterator insert(const_iterator hint, const value_type& value):
// iterator insert(const_iterator hint, value_type&& value):
//
// Inserts a value, using the position of `hint` as a non-binding suggestion
// for where to begin the insertion search. Returns an iterator to the
// inserted element.
//
// void insert(InputIterator first, InputIterator last):
//
// Inserts a range of values [`first`, `last`).
//
// void insert(std::initializer_list<init_type> ilist):
//
// Inserts the elements within the initializer list `ilist`.
using Base::insert;
// btree_multimap::emplace()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_multimap`. Any references, pointers, or iterators are
// invalidated.
using Base::emplace;
// btree_multimap::emplace_hint()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_multimap`, using the position of `hint` as a non-binding
// suggestion for where to begin the insertion search.
//
// Any references, pointers, or iterators are invalidated.
using Base::emplace_hint;
// btree_multimap::extract()
//
// Extracts the indicated element, erasing it in the process, and returns it
// as a C++17-compatible node handle. Overloads are listed below.
//
// node_type extract(const_iterator position):
//
// Extracts the element at the indicated position and returns a node handle
// owning that extracted data.
//
// template <typename K> node_type extract(const K& x):
//
// Extracts the element with the key matching the passed key value and
// returns a node handle owning that extracted data. If the `btree_multimap`
// does not contain an element with a matching key, this function returns an
// empty node handle.
//
// NOTE: In this context, `node_type` refers to the C++17 concept of a
// move-only type that owns and provides access to the elements in associative
// containers (https://en.cppreference.com/w/cpp/container/node_handle).
// It does NOT refer to the data layout of the underlying btree.
using Base::extract;
// btree_multimap::merge()
//
// Extracts elements from a given `source` btree_multimap into this
// `btree_multimap`. If the destination `btree_multimap` already contains an
// element with an equivalent key, that element is not extracted.
using Base::merge;
// btree_multimap::swap(btree_multimap& other)
//
// Exchanges the contents of this `btree_multimap` with those of the `other`
// btree_multimap, avoiding invocation of any move, copy, or swap operations
// on individual elements.
//
// All iterators and references on the `btree_multimap` remain valid,
// excepting for the past-the-end iterator, which is invalidated.
using Base::swap;
// btree_multimap::contains()
//
// template <typename K> bool contains(const K& key) const:
//
// Determines whether an element comparing equal to the given `key` exists
// within the `btree_multimap`, returning `true` if so or `false` otherwise.
//
// Supports heterogeneous lookup, provided that the map is provided a
// compatible heterogeneous comparator.
using Base::contains;
// btree_multimap::count()
//
// template <typename K> size_type count(const K& key) const:
//
// Returns the number of elements comparing equal to the given `key` within
// the `btree_multimap`.
//
// Supports heterogeneous lookup, provided that the map is provided a
// compatible heterogeneous comparator.
using Base::count;
// btree_multimap::equal_range()
//
// Returns a closed range [first, last], defined by a `std::pair` of two
// iterators, containing all elements with the passed key in the
// `btree_multimap`.
using Base::equal_range;
// btree_multimap::find()
//
// template <typename K> iterator find(const K& key):
// template <typename K> const_iterator find(const K& key) const:
//
// Finds an element with the passed `key` within the `btree_multimap`.
//
// Supports heterogeneous lookup, provided that the map is provided a
// compatible heterogeneous comparator.
using Base::find;
// btree_multimap::get_allocator()
//
// Returns the allocator function associated with this `btree_multimap`.
using Base::get_allocator;
// btree_multimap::key_comp();
//
// Returns the key comparator associated with this `btree_multimap`.
using Base::key_comp;
// btree_multimap::value_comp();
//
// Returns the value comparator associated with this `btree_multimap`.
using Base::value_comp;
};
// absl::swap(absl::btree_multimap<>, absl::btree_multimap<>)
//
// Swaps the contents of two `absl::btree_multimap` containers.
template <typename K, typename V, typename C, typename A>
void swap(btree_multimap<K, V, C, A> &x, btree_multimap<K, V, C, A> &y) {
return x.swap(y);
}
} // namespace absl
#endif // ABSL_CONTAINER_BTREE_MAP_H_
// Copyright 2018 The Abseil Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// -----------------------------------------------------------------------------
// File: btree_set.h
// -----------------------------------------------------------------------------
//
// This header file defines B-tree sets: sorted associative containers of
// values.
//
// * `absl::btree_set<>`
// * `absl::btree_multiset<>`
//
// These B-tree types are similar to the corresponding types in the STL
// (`std::set` and `std::multiset`) and generally conform to the STL interfaces
// of those types. However, because they are implemented using B-trees, they
// are more efficient in most situations.
//
// Unlike `std::set` and `std::multiset`, which are commonly implemented using
// red-black tree nodes, B-tree sets use more generic B-tree nodes able to hold
// multiple values per node. Holding multiple values per node often makes
// B-tree sets perform better than their `std::set` counterparts, because
// multiple entries can be checked within the same cache hit.
//
// However, these types should not be considered drop-in replacements for
// `std::set` and `std::multiset` as there are some API differences, which are
// noted in this header file.
//
// Importantly, insertions and deletions may invalidate outstanding iterators,
// pointers, and references to elements. Such invalidations are typically only
// an issue if insertion and deletion operations are interleaved with the use of
// more than one iterator, pointer, or reference simultaneously. For this
// reason, `insert()` and `erase()` return a valid iterator at the current
// position.
#ifndef ABSL_CONTAINER_BTREE_SET_H_
#define ABSL_CONTAINER_BTREE_SET_H_
#include "absl/container/internal/btree.h" // IWYU pragma: export
#include "absl/container/internal/btree_container.h" // IWYU pragma: export
namespace absl {
// absl::btree_set<>
//
// An `absl::btree_set<K>` is an ordered associative container of unique key
// values designed to be a more efficient replacement for `std::set` (in most
// cases).
//
// Keys are sorted using an (optional) comparison function, which defaults to
// `std::less<K>`.
//
// An `absl::btree_set<K>` uses a default allocator of `std::allocator<K>` to
// allocate (and deallocate) nodes, and construct and destruct values within
// those nodes. You may instead specify a custom allocator `A` (which in turn
// requires specifying a custom comparator `C`) as in
// `absl::btree_set<K, C, A>`.
//
template <typename Key, typename Compare = std::less<Key>,
typename Alloc = std::allocator<Key>>
class btree_set
: public container_internal::btree_set_container<
container_internal::btree<container_internal::set_params<
Key, Compare, Alloc, /*TargetNodeSize=*/256,
/*Multi=*/false>>> {
using Base = typename btree_set::btree_set_container;
public:
// Constructors and Assignment Operators
//
// A `btree_set` supports the same overload set as `std::set`
// for construction and assignment:
//
// * Default constructor
//
// absl::btree_set<std::string> set1;
//
// * Initializer List constructor
//
// absl::btree_set<std::string> set2 =
// {{"huey"}, {"dewey"}, {"louie"},};
//
// * Copy constructor
//
// absl::btree_set<std::string> set3(set2);
//
// * Copy assignment operator
//
// absl::btree_set<std::string> set4;
// set4 = set3;
//
// * Move constructor
//
// // Move is guaranteed efficient
// absl::btree_set<std::string> set5(std::move(set4));
//
// * Move assignment operator
//
// // May be efficient if allocators are compatible
// absl::btree_set<std::string> set6;
// set6 = std::move(set5);
//
// * Range constructor
//
// std::vector<std::string> v = {"a", "b"};
// absl::btree_set<std::string> set7(v.begin(), v.end());
btree_set() {}
using Base::Base;
// btree_set::begin()
//
// Returns an iterator to the beginning of the `btree_set`.
using Base::begin;
// btree_set::cbegin()
//
// Returns a const iterator to the beginning of the `btree_set`.
using Base::cbegin;
// btree_set::end()
//
// Returns an iterator to the end of the `btree_set`.
using Base::end;
// btree_set::cend()
//
// Returns a const iterator to the end of the `btree_set`.
using Base::cend;
// btree_set::empty()
//
// Returns whether or not the `btree_set` is empty.
using Base::empty;
// btree_set::max_size()
//
// Returns the largest theoretical possible number of elements within a
// `btree_set` under current memory constraints. This value can be thought
// of as the largest value of `std::distance(begin(), end())` for a
// `btree_set<Key>`.
using Base::max_size;
// btree_set::size()
//
// Returns the number of elements currently within the `btree_set`.
using Base::size;
// btree_set::clear()
//
// Removes all elements from the `btree_set`. Invalidates any references,
// pointers, or iterators referring to contained elements.
using Base::clear;
// btree_set::erase()
//
// Erases elements within the `btree_set`. Overloads are listed below.
//
// iterator erase(iterator position):
// iterator erase(const_iterator position):
//
// Erases the element at `position` of the `btree_set`, returning
// the iterator pointing to the element after the one that was erased
// (or end() if none exists).
//
// iterator erase(const_iterator first, const_iterator last):
//
// Erases the elements in the open interval [`first`, `last`), returning
// the iterator pointing to the element after the interval that was erased
// (or end() if none exists).
//
// template <typename K> size_type erase(const K& key):
//
// Erases the element with the matching key, if it exists, returning the
// number of elements erased.
using Base::erase;
// btree_set::insert()
//
// Inserts an element of the specified value into the `btree_set`,
// returning an iterator pointing to the newly inserted element, provided that
// an element with the given key does not already exist. If an insertion
// occurs, any references, pointers, or iterators are invalidated.
// Overloads are listed below.
//
// std::pair<iterator,bool> insert(const value_type& value):
//
// Inserts a value into the `btree_set`. Returns a pair consisting of an
// iterator to the inserted element (or to the element that prevented the
// insertion) and a bool denoting whether the insertion took place.
//
// std::pair<iterator,bool> insert(value_type&& value):
//
// Inserts a moveable value into the `btree_set`. Returns a pair
// consisting of an iterator to the inserted element (or to the element that
// prevented the insertion) and a bool denoting whether the insertion took
// place.
//
// iterator insert(const_iterator hint, const value_type& value):
// iterator insert(const_iterator hint, value_type&& value):
//
// Inserts a value, using the position of `hint` as a non-binding suggestion
// for where to begin the insertion search. Returns an iterator to the
// inserted element, or to the existing element that prevented the
// insertion.
//
// void insert(InputIterator first, InputIterator last):
//
// Inserts a range of values [`first`, `last`).
//
// void insert(std::initializer_list<init_type> ilist):
//
// Inserts the elements within the initializer list `ilist`.
using Base::insert;
// btree_set::emplace()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_set`, provided that no element with the given key
// already exists.
//
// The element may be constructed even if there already is an element with the
// key in the container, in which case the newly constructed element will be
// destroyed immediately.
//
// If an insertion occurs, any references, pointers, or iterators are
// invalidated.
using Base::emplace;
// btree_set::emplace_hint()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_set`, using the position of `hint` as a non-binding
// suggestion for where to begin the insertion search, and only inserts
// provided that no element with the given key already exists.
//
// The element may be constructed even if there already is an element with the
// key in the container, in which case the newly constructed element will be
// destroyed immediately.
//
// If an insertion occurs, any references, pointers, or iterators are
// invalidated.
using Base::emplace_hint;
// btree_set::extract()
//
// Extracts the indicated element, erasing it in the process, and returns it
// as a C++17-compatible node handle. Overloads are listed below.
//
// node_type extract(const_iterator position):
//
// Extracts the element at the indicated position and returns a node handle
// owning that extracted data.
//
// template <typename K> node_type extract(const K& x):
//
// Extracts the element with the key matching the passed key value and
// returns a node handle owning that extracted data. If the `btree_set`
// does not contain an element with a matching key, this function returns an
// empty node handle.
//
// NOTE: In this context, `node_type` refers to the C++17 concept of a
// move-only type that owns and provides access to the elements in associative
// containers (https://en.cppreference.com/w/cpp/container/node_handle).
// It does NOT refer to the data layout of the underlying btree.
using Base::extract;
// btree_set::merge()
//
// Extracts elements from a given `source` btree_set into this
// `btree_set`. If the destination `btree_set` already contains an
// element with an equivalent key, that element is not extracted.
using Base::merge;
// btree_set::swap(btree_set& other)
//
// Exchanges the contents of this `btree_set` with those of the `other`
// btree_set, avoiding invocation of any move, copy, or swap operations on
// individual elements.
//
// All iterators and references on the `btree_set` remain valid, excepting
// for the past-the-end iterator, which is invalidated.
using Base::swap;
// btree_set::contains()
//
// template <typename K> bool contains(const K& key) const:
//
// Determines whether an element comparing equal to the given `key` exists
// within the `btree_set`, returning `true` if so or `false` otherwise.
//
// Supports heterogeneous lookup, provided that the set is provided a
// compatible heterogeneous comparator.
using Base::contains;
// btree_set::count()
//
// template <typename K> size_type count(const K& key) const:
//
// Returns the number of elements comparing equal to the given `key` within
// the `btree_set`. Note that this function will return either `1` or `0`
// since duplicate elements are not allowed within a `btree_set`.
//
// Supports heterogeneous lookup, provided that the set is provided a
// compatible heterogeneous comparator.
using Base::count;
// btree_set::equal_range()
//
// Returns a closed range [first, last], defined by a `std::pair` of two
// iterators, containing all elements with the passed key in the
// `btree_set`.
using Base::equal_range;
// btree_set::find()
//
// template <typename K> iterator find(const K& key):
// template <typename K> const_iterator find(const K& key) const:
//
// Finds an element with the passed `key` within the `btree_set`.
//
// Supports heterogeneous lookup, provided that the set is provided a
// compatible heterogeneous comparator.
using Base::find;
// btree_set::get_allocator()
//
// Returns the allocator function associated with this `btree_set`.
using Base::get_allocator;
// btree_set::key_comp();
//
// Returns the key comparator associated with this `btree_set`.
using Base::key_comp;
// btree_set::value_comp();
//
// Returns the value comparator associated with this `btree_set`. The keys to
// sort the elements are the values themselves, therefore `value_comp` and its
// sibling member function `key_comp` are equivalent.
using Base::value_comp;
};
// absl::swap(absl::btree_set<>, absl::btree_set<>)
//
// Swaps the contents of two `absl::btree_set` containers.
template <typename K, typename C, typename A>
void swap(btree_set<K, C, A> &x, btree_set<K, C, A> &y) {
return x.swap(y);
}
// absl::btree_multiset<>
//
// An `absl::btree_multiset<K>` is an ordered associative container of
// keys and associated values designed to be a more efficient replacement
// for `std::multiset` (in most cases). Unlike `absl::btree_set`, a B-tree
// multiset allows equivalent elements.
//
// Keys are sorted using an (optional) comparison function, which defaults to
// `std::less<K>`.
//
// An `absl::btree_multiset<K>` uses a default allocator of `std::allocator<K>`
// to allocate (and deallocate) nodes, and construct and destruct values within
// those nodes. You may instead specify a custom allocator `A` (which in turn
// requires specifying a custom comparator `C`) as in
// `absl::btree_multiset<K, C, A>`.
//
template <typename Key, typename Compare = std::less<Key>,
typename Alloc = std::allocator<Key>>
class btree_multiset
: public container_internal::btree_multiset_container<
container_internal::btree<container_internal::set_params<
Key, Compare, Alloc, /*TargetNodeSize=*/256,
/*Multi=*/true>>> {
using Base = typename btree_multiset::btree_multiset_container;
public:
// Constructors and Assignment Operators
//
// A `btree_multiset` supports the same overload set as `std::set`
// for construction and assignment:
//
// * Default constructor
//
// absl::btree_multiset<std::string> set1;
//
// * Initializer List constructor
//
// absl::btree_multiset<std::string> set2 =
// {{"huey"}, {"dewey"}, {"louie"},};
//
// * Copy constructor
//
// absl::btree_multiset<std::string> set3(set2);
//
// * Copy assignment operator
//
// absl::btree_multiset<std::string> set4;
// set4 = set3;
//
// * Move constructor
//
// // Move is guaranteed efficient
// absl::btree_multiset<std::string> set5(std::move(set4));
//
// * Move assignment operator
//
// // May be efficient if allocators are compatible
// absl::btree_multiset<std::string> set6;
// set6 = std::move(set5);
//
// * Range constructor
//
// std::vector<std::string> v = {"a", "b"};
// absl::btree_multiset<std::string> set7(v.begin(), v.end());
btree_multiset() {}
using Base::Base;
// btree_multiset::begin()
//
// Returns an iterator to the beginning of the `btree_multiset`.
using Base::begin;
// btree_multiset::cbegin()
//
// Returns a const iterator to the beginning of the `btree_multiset`.
using Base::cbegin;
// btree_multiset::end()
//
// Returns an iterator to the end of the `btree_multiset`.
using Base::end;
// btree_multiset::cend()
//
// Returns a const iterator to the end of the `btree_multiset`.
using Base::cend;
// btree_multiset::empty()
//
// Returns whether or not the `btree_multiset` is empty.
using Base::empty;
// btree_multiset::max_size()
//
// Returns the largest theoretical possible number of elements within a
// `btree_multiset` under current memory constraints. This value can be
// thought of as the largest value of `std::distance(begin(), end())` for a
// `btree_multiset<Key>`.
using Base::max_size;
// btree_multiset::size()
//
// Returns the number of elements currently within the `btree_multiset`.
using Base::size;
// btree_multiset::clear()
//
// Removes all elements from the `btree_multiset`. Invalidates any references,
// pointers, or iterators referring to contained elements.
using Base::clear;
// btree_multiset::erase()
//
// Erases elements within the `btree_multiset`. Overloads are listed below.
//
// iterator erase(iterator position):
// iterator erase(const_iterator position):
//
// Erases the element at `position` of the `btree_multiset`, returning
// the iterator pointing to the element after the one that was erased
// (or end() if none exists).
//
// iterator erase(const_iterator first, const_iterator last):
//
// Erases the elements in the open interval [`first`, `last`), returning
// the iterator pointing to the element after the interval that was erased
// (or end() if none exists).
//
// template <typename K> size_type erase(const K& key):
//
// Erases the elements matching the key, if any exist, returning the
// number of elements erased.
using Base::erase;
// btree_multiset::insert()
//
// Inserts an element of the specified value into the `btree_multiset`,
// returning an iterator pointing to the newly inserted element.
// Any references, pointers, or iterators are invalidated. Overloads are
// listed below.
//
// iterator insert(const value_type& value):
//
// Inserts a value into the `btree_multiset`, returning an iterator to the
// inserted element.
//
// iterator insert(value_type&& value):
//
// Inserts a moveable value into the `btree_multiset`, returning an iterator
// to the inserted element.
//
// iterator insert(const_iterator hint, const value_type& value):
// iterator insert(const_iterator hint, value_type&& value):
//
// Inserts a value, using the position of `hint` as a non-binding suggestion
// for where to begin the insertion search. Returns an iterator to the
// inserted element.
//
// void insert(InputIterator first, InputIterator last):
//
// Inserts a range of values [`first`, `last`).
//
// void insert(std::initializer_list<init_type> ilist):
//
// Inserts the elements within the initializer list `ilist`.
using Base::insert;
// btree_multiset::emplace()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_multiset`. Any references, pointers, or iterators are
// invalidated.
using Base::emplace;
// btree_multiset::emplace_hint()
//
// Inserts an element of the specified value by constructing it in-place
// within the `btree_multiset`, using the position of `hint` as a non-binding
// suggestion for where to begin the insertion search.
//
// Any references, pointers, or iterators are invalidated.
using Base::emplace_hint;
// btree_multiset::extract()
//
// Extracts the indicated element, erasing it in the process, and returns it
// as a C++17-compatible node handle. Overloads are listed below.
//
// node_type extract(const_iterator position):
//
// Extracts the element at the indicated position and returns a node handle
// owning that extracted data.
//
// template <typename K> node_type extract(const K& x):
//
// Extracts the element with the key matching the passed key value and
// returns a node handle owning that extracted data. If the `btree_multiset`
// does not contain an element with a matching key, this function returns an
// empty node handle.
//
// NOTE: In this context, `node_type` refers to the C++17 concept of a
// move-only type that owns and provides access to the elements in associative
// containers (https://en.cppreference.com/w/cpp/container/node_handle).
// It does NOT refer to the data layout of the underlying btree.
using Base::extract;
// btree_multiset::merge()
//
// Extracts elements from a given `source` btree_multiset into this
// `btree_multiset`. If the destination `btree_multiset` already contains an
// element with an equivalent key, that element is not extracted.
using Base::merge;
// btree_multiset::swap(btree_multiset& other)
//
// Exchanges the contents of this `btree_multiset` with those of the `other`
// btree_multiset, avoiding invocation of any move, copy, or swap operations
// on individual elements.
//
// All iterators and references on the `btree_multiset` remain valid,
// excepting for the past-the-end iterator, which is invalidated.
using Base::swap;
// btree_multiset::contains()
//
// template <typename K> bool contains(const K& key) const:
//
// Determines whether an element comparing equal to the given `key` exists
// within the `btree_multiset`, returning `true` if so or `false` otherwise.
//
// Supports heterogeneous lookup, provided that the set is provided a
// compatible heterogeneous comparator.
using Base::contains;
// btree_multiset::count()
//
// template <typename K> size_type count(const K& key) const:
//
// Returns the number of elements comparing equal to the given `key` within
// the `btree_multiset`.
//
// Supports heterogeneous lookup, provided that the set is provided a
// compatible heterogeneous comparator.
using Base::count;
// btree_multiset::equal_range()
//
// Returns a closed range [first, last], defined by a `std::pair` of two
// iterators, containing all elements with the passed key in the
// `btree_multiset`.
using Base::equal_range;
// btree_multiset::find()
//
// template <typename K> iterator find(const K& key):
// template <typename K> const_iterator find(const K& key) const:
//
// Finds an element with the passed `key` within the `btree_multiset`.
//
// Supports heterogeneous lookup, provided that the set is provided a
// compatible heterogeneous comparator.
using Base::find;
// btree_multiset::get_allocator()
//
// Returns the allocator function associated with this `btree_multiset`.
using Base::get_allocator;
// btree_multiset::key_comp();
//
// Returns the key comparator associated with this `btree_multiset`.
using Base::key_comp;
// btree_multiset::value_comp();
//
// Returns the value comparator associated with this `btree_multiset`. The
// keys to sort the elements are the values themselves, therefore `value_comp`
// and its sibling member function `key_comp` are equivalent.
using Base::value_comp;
};
// absl::swap(absl::btree_multiset<>, absl::btree_multiset<>)
//
// Swaps the contents of two `absl::btree_multiset` containers.
template <typename K, typename C, typename A>
void swap(btree_multiset<K, C, A> &x, btree_multiset<K, C, A> &y) {
return x.swap(y);
}
} // namespace absl
#endif // ABSL_CONTAINER_BTREE_SET_H_
// Copyright 2018 The Abseil Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "absl/container/btree_test.h"
#include <cstdint>
#include <map>
#include <memory>
#include <stdexcept>
#include <string>
#include <type_traits>
#include <utility>
#include "gmock/gmock.h"
#include "gtest/gtest.h"
#include "absl/base/internal/raw_logging.h"
#include "absl/container/btree_map.h"
#include "absl/container/btree_set.h"
#include "absl/container/internal/counting_allocator.h"
#include "absl/container/internal/test_instance_tracker.h"
#include "absl/flags/flag.h"
#include "absl/hash/hash_testing.h"
#include "absl/memory/memory.h"
#include "absl/meta/type_traits.h"
#include "absl/strings/str_cat.h"
#include "absl/strings/str_split.h"
#include "absl/strings/string_view.h"
#include "absl/types/compare.h"
ABSL_FLAG(int, test_values, 10000, "The number of values to use for tests");
namespace absl {
namespace container_internal {
namespace {
using ::absl::test_internal::InstanceTracker;
using ::absl::test_internal::MovableOnlyInstance;
using ::testing::ElementsAre;
using ::testing::ElementsAreArray;
using ::testing::IsEmpty;
using ::testing::Pair;
template <typename T, typename U>
void CheckPairEquals(const T &x, const U &y) {
ABSL_INTERNAL_CHECK(x == y, "Values are unequal.");
}
template <typename T, typename U, typename V, typename W>
void CheckPairEquals(const std::pair<T, U> &x, const std::pair<V, W> &y) {
CheckPairEquals(x.first, y.first);
CheckPairEquals(x.second, y.second);
}
} // namespace
// The base class for a sorted associative container checker. TreeType is the
// container type to check and CheckerType is the container type to check
// against. TreeType is expected to be btree_{set,map,multiset,multimap} and
// CheckerType is expected to be {set,map,multiset,multimap}.
template <typename TreeType, typename CheckerType>
class base_checker {
public:
using key_type = typename TreeType::key_type;
using value_type = typename TreeType::value_type;
using key_compare = typename TreeType::key_compare;
using pointer = typename TreeType::pointer;
using const_pointer = typename TreeType::const_pointer;
using reference = typename TreeType::reference;
using const_reference = typename TreeType::const_reference;
using size_type = typename TreeType::size_type;
using difference_type = typename TreeType::difference_type;
using iterator = typename TreeType::iterator;
using const_iterator = typename TreeType::const_iterator;
using reverse_iterator = typename TreeType::reverse_iterator;
using const_reverse_iterator = typename TreeType::const_reverse_iterator;
public:
base_checker() : const_tree_(tree_) {}
base_checker(const base_checker &x)
: tree_(x.tree_), const_tree_(tree_), checker_(x.checker_) {}
template <typename InputIterator>
base_checker(InputIterator b, InputIterator e)
: tree_(b, e), const_tree_(tree_), checker_(b, e) {}
iterator begin() { return tree_.begin(); }
const_iterator begin() const { return tree_.begin(); }
iterator end() { return tree_.end(); }
const_iterator end() const { return tree_.end(); }
reverse_iterator rbegin() { return tree_.rbegin(); }
const_reverse_iterator rbegin() const { return tree_.rbegin(); }
reverse_iterator rend() { return tree_.rend(); }
const_reverse_iterator rend() const { return tree_.rend(); }
template <typename IterType, typename CheckerIterType>
IterType iter_check(IterType tree_iter, CheckerIterType checker_iter) const {
if (tree_iter == tree_.end()) {
ABSL_INTERNAL_CHECK(checker_iter == checker_.end(),
"Checker iterator not at end.");
} else {
CheckPairEquals(*tree_iter, *checker_iter);
}
return tree_iter;
}
template <typename IterType, typename CheckerIterType>
IterType riter_check(IterType tree_iter, CheckerIterType checker_iter) const {
if (tree_iter == tree_.rend()) {
ABSL_INTERNAL_CHECK(checker_iter == checker_.rend(),
"Checker iterator not at rend.");
} else {
CheckPairEquals(*tree_iter, *checker_iter);
}
return tree_iter;
}
void value_check(const value_type &x) {
typename KeyOfValue<typename TreeType::key_type,
typename TreeType::value_type>::type key_of_value;
const key_type &key = key_of_value(x);
CheckPairEquals(*find(key), x);
lower_bound(key);
upper_bound(key);
equal_range(key);
contains(key);
count(key);
}
void erase_check(const key_type &key) {
EXPECT_FALSE(tree_.contains(key));
EXPECT_EQ(tree_.find(key), const_tree_.end());
EXPECT_FALSE(const_tree_.contains(key));
EXPECT_EQ(const_tree_.find(key), tree_.end());
EXPECT_EQ(tree_.equal_range(key).first,
const_tree_.equal_range(key).second);
}
iterator lower_bound(const key_type &key) {
return iter_check(tree_.lower_bound(key), checker_.lower_bound(key));
}
const_iterator lower_bound(const key_type &key) const {
return iter_check(tree_.lower_bound(key), checker_.lower_bound(key));
}
iterator upper_bound(const key_type &key) {
return iter_check(tree_.upper_bound(key), checker_.upper_bound(key));
}
const_iterator upper_bound(const key_type &key) const {
return iter_check(tree_.upper_bound(key), checker_.upper_bound(key));
}
std::pair<iterator, iterator> equal_range(const key_type &key) {
std::pair<typename CheckerType::iterator, typename CheckerType::iterator>
checker_res = checker_.equal_range(key);
std::pair<iterator, iterator> tree_res = tree_.equal_range(key);
iter_check(tree_res.first, checker_res.first);
iter_check(tree_res.second, checker_res.second);
return tree_res;
}
std::pair<const_iterator, const_iterator> equal_range(
const key_type &key) const {
std::pair<typename CheckerType::const_iterator,
typename CheckerType::const_iterator>
checker_res = checker_.equal_range(key);
std::pair<const_iterator, const_iterator> tree_res = tree_.equal_range(key);
iter_check(tree_res.first, checker_res.first);
iter_check(tree_res.second, checker_res.second);
return tree_res;
}
iterator find(const key_type &key) {
return iter_check(tree_.find(key), checker_.find(key));
}
const_iterator find(const key_type &key) const {
return iter_check(tree_.find(key), checker_.find(key));
}
bool contains(const key_type &key) const {
return find(key) != end();
}
size_type count(const key_type &key) const {
size_type res = checker_.count(key);
EXPECT_EQ(res, tree_.count(key));
return res;
}
base_checker &operator=(const base_checker &x) {
tree_ = x.tree_;
checker_ = x.checker_;
return *this;
}
int erase(const key_type &key) {
int size = tree_.size();
int res = checker_.erase(key);
EXPECT_EQ(res, tree_.count(key));
EXPECT_EQ(res, tree_.erase(key));
EXPECT_EQ(tree_.count(key), 0);
EXPECT_EQ(tree_.size(), size - res);
erase_check(key);
return res;
}
iterator erase(iterator iter) {
key_type key = iter.key();
int size = tree_.size();
int count = tree_.count(key);
auto checker_iter = checker_.lower_bound(key);
for (iterator tmp(tree_.lower_bound(key)); tmp != iter; ++tmp) {
++checker_iter;
}
auto checker_next = checker_iter;
++checker_next;
checker_.erase(checker_iter);
iter = tree_.erase(iter);
EXPECT_EQ(tree_.size(), checker_.size());
EXPECT_EQ(tree_.size(), size - 1);
EXPECT_EQ(tree_.count(key), count - 1);
if (count == 1) {
erase_check(key);
}
return iter_check(iter, checker_next);
}
void erase(iterator begin, iterator end) {
int size = tree_.size();
int count = std::distance(begin, end);
auto checker_begin = checker_.lower_bound(begin.key());
for (iterator tmp(tree_.lower_bound(begin.key())); tmp != begin; ++tmp) {
++checker_begin;
}
auto checker_end =
end == tree_.end() ? checker_.end() : checker_.lower_bound(end.key());
if (end != tree_.end()) {
for (iterator tmp(tree_.lower_bound(end.key())); tmp != end; ++tmp) {
++checker_end;
}
}
checker_.erase(checker_begin, checker_end);
tree_.erase(begin, end);
EXPECT_EQ(tree_.size(), checker_.size());
EXPECT_EQ(tree_.size(), size - count);
}
void clear() {
tree_.clear();
checker_.clear();
}
void swap(base_checker &x) {
tree_.swap(x.tree_);
checker_.swap(x.checker_);
}
void verify() const {
tree_.verify();
EXPECT_EQ(tree_.size(), checker_.size());
// Move through the forward iterators using increment.
auto checker_iter = checker_.begin();
const_iterator tree_iter(tree_.begin());
for (; tree_iter != tree_.end(); ++tree_iter, ++checker_iter) {
CheckPairEquals(*tree_iter, *checker_iter);
}
// Move through the forward iterators using decrement.
for (int n = tree_.size() - 1; n >= 0; --n) {
iter_check(tree_iter, checker_iter);
--tree_iter;
--checker_iter;
}
EXPECT_EQ(tree_iter, tree_.begin());
EXPECT_EQ(checker_iter, checker_.begin());
// Move through the reverse iterators using increment.
auto checker_riter = checker_.rbegin();
const_reverse_iterator tree_riter(tree_.rbegin());
for (; tree_riter != tree_.rend(); ++tree_riter, ++checker_riter) {
CheckPairEquals(*tree_riter, *checker_riter);
}
// Move through the reverse iterators using decrement.
for (int n = tree_.size() - 1; n >= 0; --n) {
riter_check(tree_riter, checker_riter);
--tree_riter;
--checker_riter;
}
EXPECT_EQ(tree_riter, tree_.rbegin());
EXPECT_EQ(checker_riter, checker_.rbegin());
}
const TreeType &tree() const { return tree_; }
size_type size() const {
EXPECT_EQ(tree_.size(), checker_.size());
return tree_.size();
}
size_type max_size() const { return tree_.max_size(); }
bool empty() const {
EXPECT_EQ(tree_.empty(), checker_.empty());
return tree_.empty();
}
protected:
TreeType tree_;
const TreeType &const_tree_;
CheckerType checker_;
};
namespace {
// A checker for unique sorted associative containers. TreeType is expected to
// be btree_{set,map} and CheckerType is expected to be {set,map}.
template <typename TreeType, typename CheckerType>
class unique_checker : public base_checker<TreeType, CheckerType> {
using super_type = base_checker<TreeType, CheckerType>;
public:
using iterator = typename super_type::iterator;
using value_type = typename super_type::value_type;
public:
unique_checker() : super_type() {}
unique_checker(const unique_checker &x) : super_type(x) {}
template <class InputIterator>
unique_checker(InputIterator b, InputIterator e) : super_type(b, e) {}
// Insertion routines.
std::pair<iterator, bool> insert(const value_type &x) {
int size = this->tree_.size();
std::pair<typename CheckerType::iterator, bool> checker_res =
this->checker_.insert(x);
std::pair<iterator, bool> tree_res = this->tree_.insert(x);
CheckPairEquals(*tree_res.first, *checker_res.first);
EXPECT_EQ(tree_res.second, checker_res.second);
EXPECT_EQ(this->tree_.size(), this->checker_.size());
EXPECT_EQ(this->tree_.size(), size + tree_res.second);
return tree_res;
}
iterator insert(iterator position, const value_type &x) {
int size = this->tree_.size();
std::pair<typename CheckerType::iterator, bool> checker_res =
this->checker_.insert(x);
iterator tree_res = this->tree_.insert(position, x);
CheckPairEquals(*tree_res, *checker_res.first);
EXPECT_EQ(this->tree_.size(), this->checker_.size());
EXPECT_EQ(this->tree_.size(), size + checker_res.second);
return tree_res;
}
template <typename InputIterator>
void insert(InputIterator b, InputIterator e) {
for (; b != e; ++b) {
insert(*b);
}
}
};
// A checker for multiple sorted associative containers. TreeType is expected
// to be btree_{multiset,multimap} and CheckerType is expected to be
// {multiset,multimap}.
template <typename TreeType, typename CheckerType>
class multi_checker : public base_checker<TreeType, CheckerType> {
using super_type = base_checker<TreeType, CheckerType>;
public:
using iterator = typename super_type::iterator;
using value_type = typename super_type::value_type;
public:
multi_checker() : super_type() {}
multi_checker(const multi_checker &x) : super_type(x) {}
template <class InputIterator>
multi_checker(InputIterator b, InputIterator e) : super_type(b, e) {}
// Insertion routines.
iterator insert(const value_type &x) {
int size = this->tree_.size();
auto checker_res = this->checker_.insert(x);
iterator tree_res = this->tree_.insert(x);
CheckPairEquals(*tree_res, *checker_res);
EXPECT_EQ(this->tree_.size(), this->checker_.size());
EXPECT_EQ(this->tree_.size(), size + 1);
return tree_res;
}
iterator insert(iterator position, const value_type &x) {
int size = this->tree_.size();
auto checker_res = this->checker_.insert(x);
iterator tree_res = this->tree_.insert(position, x);
CheckPairEquals(*tree_res, *checker_res);
EXPECT_EQ(this->tree_.size(), this->checker_.size());
EXPECT_EQ(this->tree_.size(), size + 1);
return tree_res;
}
template <typename InputIterator>
void insert(InputIterator b, InputIterator e) {
for (; b != e; ++b) {
insert(*b);
}
}
};
template <typename T, typename V>
void DoTest(const char *name, T *b, const std::vector<V> &values) {
typename KeyOfValue<typename T::key_type, V>::type key_of_value;
T &mutable_b = *b;
const T &const_b = *b;
// Test insert.
for (int i = 0; i < values.size(); ++i) {
mutable_b.insert(values[i]);
mutable_b.value_check(values[i]);
}
ASSERT_EQ(mutable_b.size(), values.size());
const_b.verify();
// Test copy constructor.
T b_copy(const_b);
EXPECT_EQ(b_copy.size(), const_b.size());
for (int i = 0; i < values.size(); ++i) {
CheckPairEquals(*b_copy.find(key_of_value(values[i])), values[i]);
}
// Test range constructor.
T b_range(const_b.begin(), const_b.end());
EXPECT_EQ(b_range.size(), const_b.size());
for (int i = 0; i < values.size(); ++i) {
CheckPairEquals(*b_range.find(key_of_value(values[i])), values[i]);
}
// Test range insertion for values that already exist.
b_range.insert(b_copy.begin(), b_copy.end());
b_range.verify();
// Test range insertion for new values.
b_range.clear();
b_range.insert(b_copy.begin(), b_copy.end());
EXPECT_EQ(b_range.size(), b_copy.size());
for (int i = 0; i < values.size(); ++i) {
CheckPairEquals(*b_range.find(key_of_value(values[i])), values[i]);
}
// Test assignment to self. Nothing should change.
b_range.operator=(b_range);
EXPECT_EQ(b_range.size(), b_copy.size());
// Test assignment of new values.
b_range.clear();
b_range = b_copy;
EXPECT_EQ(b_range.size(), b_copy.size());
// Test swap.
b_range.clear();
b_range.swap(b_copy);
EXPECT_EQ(b_copy.size(), 0);
EXPECT_EQ(b_range.size(), const_b.size());
for (int i = 0; i < values.size(); ++i) {
CheckPairEquals(*b_range.find(key_of_value(values[i])), values[i]);
}
b_range.swap(b_copy);
// Test non-member function swap.
swap(b_range, b_copy);
EXPECT_EQ(b_copy.size(), 0);
EXPECT_EQ(b_range.size(), const_b.size());
for (int i = 0; i < values.size(); ++i) {
CheckPairEquals(*b_range.find(key_of_value(values[i])), values[i]);
}
swap(b_range, b_copy);
// Test erase via values.
for (int i = 0; i < values.size(); ++i) {
mutable_b.erase(key_of_value(values[i]));
// Erasing a non-existent key should have no effect.
ASSERT_EQ(mutable_b.erase(key_of_value(values[i])), 0);
}
const_b.verify();
EXPECT_EQ(const_b.size(), 0);
// Test erase via iterators.
mutable_b = b_copy;
for (int i = 0; i < values.size(); ++i) {
mutable_b.erase(mutable_b.find(key_of_value(values[i])));
}
const_b.verify();
EXPECT_EQ(const_b.size(), 0);
// Test insert with hint.
for (int i = 0; i < values.size(); i++) {
mutable_b.insert(mutable_b.upper_bound(key_of_value(values[i])), values[i]);
}
const_b.verify();
// Test range erase.
mutable_b.erase(mutable_b.begin(), mutable_b.end());
EXPECT_EQ(mutable_b.size(), 0);
const_b.verify();
// First half.
mutable_b = b_copy;
typename T::iterator mutable_iter_end = mutable_b.begin();
for (int i = 0; i < values.size() / 2; ++i) ++mutable_iter_end;
mutable_b.erase(mutable_b.begin(), mutable_iter_end);
EXPECT_EQ(mutable_b.size(), values.size() - values.size() / 2);
const_b.verify();
// Second half.
mutable_b = b_copy;
typename T::iterator mutable_iter_begin = mutable_b.begin();
for (int i = 0; i < values.size() / 2; ++i) ++mutable_iter_begin;
mutable_b.erase(mutable_iter_begin, mutable_b.end());
EXPECT_EQ(mutable_b.size(), values.size() / 2);
const_b.verify();
// Second quarter.
mutable_b = b_copy;
mutable_iter_begin = mutable_b.begin();
for (int i = 0; i < values.size() / 4; ++i) ++mutable_iter_begin;
mutable_iter_end = mutable_iter_begin;
for (int i = 0; i < values.size() / 4; ++i) ++mutable_iter_end;
mutable_b.erase(mutable_iter_begin, mutable_iter_end);
EXPECT_EQ(mutable_b.size(), values.size() - values.size() / 4);
const_b.verify();
mutable_b.clear();
}
template <typename T>
void ConstTest() {
using value_type = typename T::value_type;
typename KeyOfValue<typename T::key_type, value_type>::type key_of_value;
T mutable_b;
const T &const_b = mutable_b;
// Insert a single value into the container and test looking it up.
value_type value = Generator<value_type>(2)(2);
mutable_b.insert(value);
EXPECT_TRUE(mutable_b.contains(key_of_value(value)));
EXPECT_NE(mutable_b.find(key_of_value(value)), const_b.end());
EXPECT_TRUE(const_b.contains(key_of_value(value)));
EXPECT_NE(const_b.find(key_of_value(value)), mutable_b.end());
EXPECT_EQ(*const_b.lower_bound(key_of_value(value)), value);
EXPECT_EQ(const_b.upper_bound(key_of_value(value)), const_b.end());
EXPECT_EQ(*const_b.equal_range(key_of_value(value)).first, value);
// We can only create a non-const iterator from a non-const container.
typename T::iterator mutable_iter(mutable_b.begin());
EXPECT_EQ(mutable_iter, const_b.begin());
EXPECT_NE(mutable_iter, const_b.end());
EXPECT_EQ(const_b.begin(), mutable_iter);
EXPECT_NE(const_b.end(), mutable_iter);
typename T::reverse_iterator mutable_riter(mutable_b.rbegin());
EXPECT_EQ(mutable_riter, const_b.rbegin());
EXPECT_NE(mutable_riter, const_b.rend());
EXPECT_EQ(const_b.rbegin(), mutable_riter);
EXPECT_NE(const_b.rend(), mutable_riter);
// We can create a const iterator from a non-const iterator.
typename T::const_iterator const_iter(mutable_iter);
EXPECT_EQ(const_iter, mutable_b.begin());
EXPECT_NE(const_iter, mutable_b.end());
EXPECT_EQ(mutable_b.begin(), const_iter);
EXPECT_NE(mutable_b.end(), const_iter);
typename T::const_reverse_iterator const_riter(mutable_riter);
EXPECT_EQ(const_riter, mutable_b.rbegin());
EXPECT_NE(const_riter, mutable_b.rend());
EXPECT_EQ(mutable_b.rbegin(), const_riter);
EXPECT_NE(mutable_b.rend(), const_riter);
// Make sure various methods can be invoked on a const container.
const_b.verify();
ASSERT_TRUE(!const_b.empty());
EXPECT_EQ(const_b.size(), 1);
EXPECT_GT(const_b.max_size(), 0);
EXPECT_TRUE(const_b.contains(key_of_value(value)));
EXPECT_EQ(const_b.count(key_of_value(value)), 1);
}
template <typename T, typename C>
void BtreeTest() {
ConstTest<T>();
using V = typename remove_pair_const<typename T::value_type>::type;
const std::vector<V> random_values = GenerateValuesWithSeed<V>(
absl::GetFlag(FLAGS_test_values), 4 * absl::GetFlag(FLAGS_test_values),
testing::GTEST_FLAG(random_seed));
unique_checker<T, C> container;
// Test key insertion/deletion in sorted order.
std::vector<V> sorted_values(random_values);
std::sort(sorted_values.begin(), sorted_values.end());
DoTest("sorted: ", &container, sorted_values);
// Test key insertion/deletion in reverse sorted order.
std::reverse(sorted_values.begin(), sorted_values.end());
DoTest("rsorted: ", &container, sorted_values);
// Test key insertion/deletion in random order.
DoTest("random: ", &container, random_values);
}
template <typename T, typename C>
void BtreeMultiTest() {
ConstTest<T>();
using V = typename remove_pair_const<typename T::value_type>::type;
const std::vector<V> random_values = GenerateValuesWithSeed<V>(
absl::GetFlag(FLAGS_test_values), 4 * absl::GetFlag(FLAGS_test_values),
testing::GTEST_FLAG(random_seed));
multi_checker<T, C> container;
// Test keys in sorted order.
std::vector<V> sorted_values(random_values);
std::sort(sorted_values.begin(), sorted_values.end());
DoTest("sorted: ", &container, sorted_values);
// Test keys in reverse sorted order.
std::reverse(sorted_values.begin(), sorted_values.end());
DoTest("rsorted: ", &container, sorted_values);
// Test keys in random order.
DoTest("random: ", &container, random_values);
// Test keys in random order w/ duplicates.
std::vector<V> duplicate_values(random_values);
duplicate_values.insert(duplicate_values.end(), random_values.begin(),
random_values.end());
DoTest("duplicates:", &container, duplicate_values);
// Test all identical keys.
std::vector<V> identical_values(100);
std::fill(identical_values.begin(), identical_values.end(),
Generator<V>(2)(2));
DoTest("identical: ", &container, identical_values);
}
template <typename T>
struct PropagatingCountingAlloc : public CountingAllocator<T> {
using propagate_on_container_copy_assignment = std::true_type;
using propagate_on_container_move_assignment = std::true_type;
using propagate_on_container_swap = std::true_type;
using Base = CountingAllocator<T>;
using Base::Base;
template <typename U>
explicit PropagatingCountingAlloc(const PropagatingCountingAlloc<U> &other)
: Base(other.bytes_used_) {}
template <typename U>
struct rebind {
using other = PropagatingCountingAlloc<U>;
};
};
template <typename T>
void BtreeAllocatorTest() {
using value_type = typename T::value_type;
int64_t bytes1 = 0, bytes2 = 0;
PropagatingCountingAlloc<T> allocator1(&bytes1);
PropagatingCountingAlloc<T> allocator2(&bytes2);
Generator<value_type> generator(1000);
// Test that we allocate properly aligned memory. If we don't, then Layout
// will assert fail.
auto unused1 = allocator1.allocate(1);
auto unused2 = allocator2.allocate(1);
// Test copy assignment
{
T b1(typename T::key_compare(), allocator1);
T b2(typename T::key_compare(), allocator2);
int64_t original_bytes1 = bytes1;
b1.insert(generator(0));
EXPECT_GT(bytes1, original_bytes1);
// This should propagate the allocator.
b1 = b2;
EXPECT_EQ(b1.size(), 0);
EXPECT_EQ(b2.size(), 0);
EXPECT_EQ(bytes1, original_bytes1);
for (int i = 1; i < 1000; i++) {
b1.insert(generator(i));
}
// We should have allocated out of allocator2.
EXPECT_GT(bytes2, bytes1);
}
// Test move assignment
{
T b1(typename T::key_compare(), allocator1);
T b2(typename T::key_compare(), allocator2);
int64_t original_bytes1 = bytes1;
b1.insert(generator(0));
EXPECT_GT(bytes1, original_bytes1);
// This should propagate the allocator.
b1 = std::move(b2);
EXPECT_EQ(b1.size(), 0);
EXPECT_EQ(bytes1, original_bytes1);
for (int i = 1; i < 1000; i++) {
b1.insert(generator(i));
}
// We should have allocated out of allocator2.
EXPECT_GT(bytes2, bytes1);
}
// Test swap
{
T b1(typename T::key_compare(), allocator1);
T b2(typename T::key_compare(), allocator2);
int64_t original_bytes1 = bytes1;
b1.insert(generator(0));
EXPECT_GT(bytes1, original_bytes1);
// This should swap the allocators.
swap(b1, b2);
EXPECT_EQ(b1.size(), 0);
EXPECT_EQ(b2.size(), 1);
EXPECT_GT(bytes1, original_bytes1);
for (int i = 1; i < 1000; i++) {
b1.insert(generator(i));
}
// We should have allocated out of allocator2.
EXPECT_GT(bytes2, bytes1);
}
allocator1.deallocate(unused1, 1);
allocator2.deallocate(unused2, 1);
}
template <typename T>
void BtreeMapTest() {
using value_type = typename T::value_type;
using mapped_type = typename T::mapped_type;
mapped_type m = Generator<mapped_type>(0)(0);
(void)m;
T b;
// Verify we can insert using operator[].
for (int i = 0; i < 1000; i++) {
value_type v = Generator<value_type>(1000)(i);
b[v.first] = v.second;
}
EXPECT_EQ(b.size(), 1000);
// Test whether we can use the "->" operator on iterators and
// reverse_iterators. This stresses the btree_map_params::pair_pointer
// mechanism.
EXPECT_EQ(b.begin()->first, Generator<value_type>(1000)(0).first);
EXPECT_EQ(b.begin()->second, Generator<value_type>(1000)(0).second);
EXPECT_EQ(b.rbegin()->first, Generator<value_type>(1000)(999).first);
EXPECT_EQ(b.rbegin()->second, Generator<value_type>(1000)(999).second);
}
template <typename T>
void BtreeMultiMapTest() {
using mapped_type = typename T::mapped_type;
mapped_type m = Generator<mapped_type>(0)(0);
(void)m;
}
template <typename K, int N = 256>
void SetTest() {
EXPECT_EQ(
sizeof(absl::btree_set<K>),
2 * sizeof(void *) + sizeof(typename absl::btree_set<K>::size_type));
using BtreeSet = absl::btree_set<K>;
using CountingBtreeSet =
absl::btree_set<K, std::less<K>, PropagatingCountingAlloc<K>>;
BtreeTest<BtreeSet, std::set<K>>();
BtreeAllocatorTest<CountingBtreeSet>();
}
template <typename K, int N = 256>
void MapTest() {
EXPECT_EQ(
sizeof(absl::btree_map<K, K>),
2 * sizeof(void *) + sizeof(typename absl::btree_map<K, K>::size_type));
using BtreeMap = absl::btree_map<K, K>;
using CountingBtreeMap =
absl::btree_map<K, K, std::less<K>,
PropagatingCountingAlloc<std::pair<const K, K>>>;
BtreeTest<BtreeMap, std::map<K, K>>();
BtreeAllocatorTest<CountingBtreeMap>();
BtreeMapTest<BtreeMap>();
}
TEST(Btree, set_int32) { SetTest<int32_t>(); }
TEST(Btree, set_int64) { SetTest<int64_t>(); }
TEST(Btree, set_string) { SetTest<std::string>(); }
TEST(Btree, set_pair) { SetTest<std::pair<int, int>>(); }
TEST(Btree, map_int32) { MapTest<int32_t>(); }
TEST(Btree, map_int64) { MapTest<int64_t>(); }
TEST(Btree, map_string) { MapTest<std::string>(); }
TEST(Btree, map_pair) { MapTest<std::pair<int, int>>(); }
template <typename K, int N = 256>
void MultiSetTest() {
EXPECT_EQ(
sizeof(absl::btree_multiset<K>),
2 * sizeof(void *) + sizeof(typename absl::btree_multiset<K>::size_type));
using BtreeMSet = absl::btree_multiset<K>;
using CountingBtreeMSet =
absl::btree_multiset<K, std::less<K>, PropagatingCountingAlloc<K>>;
BtreeMultiTest<BtreeMSet, std::multiset<K>>();
BtreeAllocatorTest<CountingBtreeMSet>();
}
template <typename K, int N = 256>
void MultiMapTest() {
EXPECT_EQ(sizeof(absl::btree_multimap<K, K>),
2 * sizeof(void *) +
sizeof(typename absl::btree_multimap<K, K>::size_type));
using BtreeMMap = absl::btree_multimap<K, K>;
using CountingBtreeMMap =
absl::btree_multimap<K, K, std::less<K>,
PropagatingCountingAlloc<std::pair<const K, K>>>;
BtreeMultiTest<BtreeMMap, std::multimap<K, K>>();
BtreeMultiMapTest<BtreeMMap>();
BtreeAllocatorTest<CountingBtreeMMap>();
}
TEST(Btree, multiset_int32) { MultiSetTest<int32_t>(); }
TEST(Btree, multiset_int64) { MultiSetTest<int64_t>(); }
TEST(Btree, multiset_string) { MultiSetTest<std::string>(); }
TEST(Btree, multiset_pair) { MultiSetTest<std::pair<int, int>>(); }
TEST(Btree, multimap_int32) { MultiMapTest<int32_t>(); }
TEST(Btree, multimap_int64) { MultiMapTest<int64_t>(); }
TEST(Btree, multimap_string) { MultiMapTest<std::string>(); }
TEST(Btree, multimap_pair) { MultiMapTest<std::pair<int, int>>(); }
struct CompareIntToString {
bool operator()(const std::string &a, const std::string &b) const {
return a < b;
}
bool operator()(const std::string &a, int b) const {
return a < absl::StrCat(b);
}
bool operator()(int a, const std::string &b) const {
return absl::StrCat(a) < b;
}
using is_transparent = void;
};
struct NonTransparentCompare {
template <typename T, typename U>
bool operator()(const T& t, const U& u) const {
// Treating all comparators as transparent can cause inefficiencies (see
// N3657 C++ proposal). Test that for comparators without 'is_transparent'
// alias (like this one), we do not attempt heterogeneous lookup.
EXPECT_TRUE((std::is_same<T, U>()));
return t < u;
}
};
template <typename T>
bool CanEraseWithEmptyBrace(T t, decltype(t.erase({})) *) {
return true;
}
template <typename T>
bool CanEraseWithEmptyBrace(T, ...) {
return false;
}
template <typename T>
void TestHeterogeneous(T table) {
auto lb = table.lower_bound("3");
EXPECT_EQ(lb, table.lower_bound(3));
EXPECT_NE(lb, table.lower_bound(4));
EXPECT_EQ(lb, table.lower_bound({"3"}));
EXPECT_NE(lb, table.lower_bound({}));
auto ub = table.upper_bound("3");
EXPECT_EQ(ub, table.upper_bound(3));
EXPECT_NE(ub, table.upper_bound(5));
EXPECT_EQ(ub, table.upper_bound({"3"}));
EXPECT_NE(ub, table.upper_bound({}));
auto er = table.equal_range("3");
EXPECT_EQ(er, table.equal_range(3));
EXPECT_NE(er, table.equal_range(4));
EXPECT_EQ(er, table.equal_range({"3"}));
EXPECT_NE(er, table.equal_range({}));
auto it = table.find("3");
EXPECT_EQ(it, table.find(3));
EXPECT_NE(it, table.find(4));
EXPECT_EQ(it, table.find({"3"}));
EXPECT_NE(it, table.find({}));
EXPECT_TRUE(table.contains(3));
EXPECT_FALSE(table.contains(4));
EXPECT_TRUE(table.count({"3"}));
EXPECT_FALSE(table.contains({}));
EXPECT_EQ(1, table.count(3));
EXPECT_EQ(0, table.count(4));
EXPECT_EQ(1, table.count({"3"}));
EXPECT_EQ(0, table.count({}));
auto copy = table;
copy.erase(3);
EXPECT_EQ(table.size() - 1, copy.size());
copy.erase(4);
EXPECT_EQ(table.size() - 1, copy.size());
copy.erase({"5"});
EXPECT_EQ(table.size() - 2, copy.size());
EXPECT_FALSE(CanEraseWithEmptyBrace(table, nullptr));
// Also run it with const T&.
if (std::is_class<T>()) TestHeterogeneous<const T &>(table);
}
TEST(Btree, HeterogeneousLookup) {
TestHeterogeneous(btree_set<std::string, CompareIntToString>{"1", "3", "5"});
TestHeterogeneous(btree_map<std::string, int, CompareIntToString>{
{"1", 1}, {"3", 3}, {"5", 5}});
TestHeterogeneous(
btree_multiset<std::string, CompareIntToString>{"1", "3", "5"});
TestHeterogeneous(btree_multimap<std::string, int, CompareIntToString>{
{"1", 1}, {"3", 3}, {"5", 5}});
// Only maps have .at()
btree_map<std::string, int, CompareIntToString> map{
{"", -1}, {"1", 1}, {"3", 3}, {"5", 5}};
EXPECT_EQ(1, map.at(1));
EXPECT_EQ(3, map.at({"3"}));
EXPECT_EQ(-1, map.at({}));
const auto &cmap = map;
EXPECT_EQ(1, cmap.at(1));
EXPECT_EQ(3, cmap.at({"3"}));
EXPECT_EQ(-1, cmap.at({}));
}
TEST(Btree, NoHeterogeneousLookupWithoutAlias) {
using StringSet = absl::btree_set<std::string, NonTransparentCompare>;
StringSet s;
ASSERT_TRUE(s.insert("hello").second);
ASSERT_TRUE(s.insert("world").second);
EXPECT_TRUE(s.end() == s.find("blah"));
EXPECT_TRUE(s.begin() == s.lower_bound("hello"));
EXPECT_EQ(1, s.count("world"));
EXPECT_TRUE(s.contains("hello"));
EXPECT_TRUE(s.contains("world"));
EXPECT_FALSE(s.contains("blah"));
using StringMultiSet =
absl::btree_multiset<std::string, NonTransparentCompare>;
StringMultiSet ms;
ms.insert("hello");
ms.insert("world");
ms.insert("world");
EXPECT_TRUE(ms.end() == ms.find("blah"));
EXPECT_TRUE(ms.begin() == ms.lower_bound("hello"));
EXPECT_EQ(2, ms.count("world"));
EXPECT_TRUE(ms.contains("hello"));
EXPECT_TRUE(ms.contains("world"));
EXPECT_FALSE(ms.contains("blah"));
}
TEST(Btree, DefaultTransparent) {
{
// `int` does not have a default transparent comparator.
// The input value is converted to key_type.
btree_set<int> s = {1};
double d = 1.1;
EXPECT_EQ(s.begin(), s.find(d));
EXPECT_TRUE(s.contains(d));
}
{
// `std::string` has heterogeneous support.
btree_set<std::string> s = {"A"};
EXPECT_EQ(s.begin(), s.find(absl::string_view("A")));
EXPECT_TRUE(s.contains(absl::string_view("A")));
}
}
class StringLike {
public:
StringLike() = default;
StringLike(const char* s) : s_(s) { // NOLINT
++constructor_calls_;
}
bool operator<(const StringLike& a) const {
return s_ < a.s_;
}
static void clear_constructor_call_count() {
constructor_calls_ = 0;
}
static int constructor_calls() {
return constructor_calls_;
}
private:
static int constructor_calls_;
std::string s_;
};
int StringLike::constructor_calls_ = 0;
TEST(Btree, HeterogeneousLookupDoesntDegradePerformance) {
using StringSet = absl::btree_set<StringLike>;
StringSet s;
for (int i = 0; i < 100; ++i) {
ASSERT_TRUE(s.insert(absl::StrCat(i).c_str()).second);
}
StringLike::clear_constructor_call_count();
s.find("50");
ASSERT_EQ(1, StringLike::constructor_calls());
StringLike::clear_constructor_call_count();
s.contains("50");
ASSERT_EQ(1, StringLike::constructor_calls());
StringLike::clear_constructor_call_count();
s.count("50");
ASSERT_EQ(1, StringLike::constructor_calls());
StringLike::clear_constructor_call_count();
s.lower_bound("50");
ASSERT_EQ(1, StringLike::constructor_calls());
StringLike::clear_constructor_call_count();
s.upper_bound("50");
ASSERT_EQ(1, StringLike::constructor_calls());
StringLike::clear_constructor_call_count();
s.equal_range("50");
ASSERT_EQ(1, StringLike::constructor_calls());
StringLike::clear_constructor_call_count();
s.erase("50");
ASSERT_EQ(1, StringLike::constructor_calls());
}
// Verify that swapping btrees swaps the key comparison functors and that we can
// use non-default constructible comparators.
struct SubstringLess {
SubstringLess() = delete;
explicit SubstringLess(int length) : n(length) {}
bool operator()(const std::string &a, const std::string &b) const {
return absl::string_view(a).substr(0, n) <
absl::string_view(b).substr(0, n);
}
int n;
};
TEST(Btree, SwapKeyCompare) {
using SubstringSet = absl::btree_set<std::string, SubstringLess>;
SubstringSet s1(SubstringLess(1), SubstringSet::allocator_type());
SubstringSet s2(SubstringLess(2), SubstringSet::allocator_type());
ASSERT_TRUE(s1.insert("a").second);
ASSERT_FALSE(s1.insert("aa").second);
ASSERT_TRUE(s2.insert("a").second);
ASSERT_TRUE(s2.insert("aa").second);
ASSERT_FALSE(s2.insert("aaa").second);
swap(s1, s2);
ASSERT_TRUE(s1.insert("b").second);
ASSERT_TRUE(s1.insert("bb").second);
ASSERT_FALSE(s1.insert("bbb").second);
ASSERT_TRUE(s2.insert("b").second);
ASSERT_FALSE(s2.insert("bb").second);
}
TEST(Btree, UpperBoundRegression) {
// Regress a bug where upper_bound would default-construct a new key_compare
// instead of copying the existing one.
using SubstringSet = absl::btree_set<std::string, SubstringLess>;
SubstringSet my_set(SubstringLess(3));
my_set.insert("aab");
my_set.insert("abb");
// We call upper_bound("aaa"). If this correctly uses the length 3
// comparator, aaa < aab < abb, so we should get aab as the result.
// If it instead uses the default-constructed length 2 comparator,
// aa == aa < ab, so we'll get abb as our result.
SubstringSet::iterator it = my_set.upper_bound("aaa");
ASSERT_TRUE(it != my_set.end());
EXPECT_EQ("aab", *it);
}
TEST(Btree, Comparison) {
const int kSetSize = 1201;
absl::btree_set<int64_t> my_set;
for (int i = 0; i < kSetSize; ++i) {
my_set.insert(i);
}
absl::btree_set<int64_t> my_set_copy(my_set);
EXPECT_TRUE(my_set_copy == my_set);
EXPECT_TRUE(my_set == my_set_copy);
EXPECT_FALSE(my_set_copy != my_set);
EXPECT_FALSE(my_set != my_set_copy);
my_set.insert(kSetSize);
EXPECT_FALSE(my_set_copy == my_set);
EXPECT_FALSE(my_set == my_set_copy);
EXPECT_TRUE(my_set_copy != my_set);
EXPECT_TRUE(my_set != my_set_copy);
my_set.erase(kSetSize - 1);
EXPECT_FALSE(my_set_copy == my_set);
EXPECT_FALSE(my_set == my_set_copy);
EXPECT_TRUE(my_set_copy != my_set);
EXPECT_TRUE(my_set != my_set_copy);
absl::btree_map<std::string, int64_t> my_map;
for (int i = 0; i < kSetSize; ++i) {
my_map[std::string(i, 'a')] = i;
}
absl::btree_map<std::string, int64_t> my_map_copy(my_map);
EXPECT_TRUE(my_map_copy == my_map);
EXPECT_TRUE(my_map == my_map_copy);
EXPECT_FALSE(my_map_copy != my_map);
EXPECT_FALSE(my_map != my_map_copy);
++my_map_copy[std::string(7, 'a')];
EXPECT_FALSE(my_map_copy == my_map);
EXPECT_FALSE(my_map == my_map_copy);
EXPECT_TRUE(my_map_copy != my_map);
EXPECT_TRUE(my_map != my_map_copy);
my_map_copy = my_map;
my_map["hello"] = kSetSize;
EXPECT_FALSE(my_map_copy == my_map);
EXPECT_FALSE(my_map == my_map_copy);
EXPECT_TRUE(my_map_copy != my_map);
EXPECT_TRUE(my_map != my_map_copy);
my_map.erase(std::string(kSetSize - 1, 'a'));
EXPECT_FALSE(my_map_copy == my_map);
EXPECT_FALSE(my_map == my_map_copy);
EXPECT_TRUE(my_map_copy != my_map);
EXPECT_TRUE(my_map != my_map_copy);
}
TEST(Btree, RangeCtorSanity) {
std::vector<int> ivec;
ivec.push_back(1);
std::map<int, int> imap;
imap.insert(std::make_pair(1, 2));
absl::btree_multiset<int> tmset(ivec.begin(), ivec.end());
absl::btree_multimap<int, int> tmmap(imap.begin(), imap.end());
absl::btree_set<int> tset(ivec.begin(), ivec.end());
absl::btree_map<int, int> tmap(imap.begin(), imap.end());
EXPECT_EQ(1, tmset.size());
EXPECT_EQ(1, tmmap.size());
EXPECT_EQ(1, tset.size());
EXPECT_EQ(1, tmap.size());
}
TEST(Btree, BtreeMapCanHoldMoveOnlyTypes) {
absl::btree_map<std::string, std::unique_ptr<std::string>> m;
std::unique_ptr<std::string> &v = m["A"];
EXPECT_TRUE(v == nullptr);
v.reset(new std::string("X"));
auto iter = m.find("A");
EXPECT_EQ("X", *iter->second);
}
TEST(Btree, InitializerListConstructor) {
absl::btree_set<std::string> set({"a", "b"});
EXPECT_EQ(set.count("a"), 1);
EXPECT_EQ(set.count("b"), 1);
absl::btree_multiset<int> mset({1, 1, 4});
EXPECT_EQ(mset.count(1), 2);
EXPECT_EQ(mset.count(4), 1);
absl::btree_map<int, int> map({{1, 5}, {2, 10}});
EXPECT_EQ(map[1], 5);
EXPECT_EQ(map[2], 10);
absl::btree_multimap<int, int> mmap({{1, 5}, {1, 10}});
auto range = mmap.equal_range(1);
auto it = range.first;
ASSERT_NE(it, range.second);
EXPECT_EQ(it->second, 5);
ASSERT_NE(++it, range.second);
EXPECT_EQ(it->second, 10);
EXPECT_EQ(++it, range.second);
}
TEST(Btree, InitializerListInsert) {
absl::btree_set<std::string> set;
set.insert({"a", "b"});
EXPECT_EQ(set.count("a"), 1);
EXPECT_EQ(set.count("b"), 1);
absl::btree_multiset<int> mset;
mset.insert({1, 1, 4});
EXPECT_EQ(mset.count(1), 2);
EXPECT_EQ(mset.count(4), 1);
absl::btree_map<int, int> map;
map.insert({{1, 5}, {2, 10}});
// Test that inserting one element using an initializer list also works.
map.insert({3, 15});
EXPECT_EQ(map[1], 5);
EXPECT_EQ(map[2], 10);
EXPECT_EQ(map[3], 15);
absl::btree_multimap<int, int> mmap;
mmap.insert({{1, 5}, {1, 10}});
auto range = mmap.equal_range(1);
auto it = range.first;
ASSERT_NE(it, range.second);
EXPECT_EQ(it->second, 5);
ASSERT_NE(++it, range.second);
EXPECT_EQ(it->second, 10);
EXPECT_EQ(++it, range.second);
}
template <typename Compare, typename K>
void AssertKeyCompareToAdapted() {
using Adapted = typename key_compare_to_adapter<Compare>::type;
static_assert(!std::is_same<Adapted, Compare>::value,
"key_compare_to_adapter should have adapted this comparator.");
static_assert(
std::is_same<absl::weak_ordering,
absl::result_of_t<Adapted(const K &, const K &)>>::value,
"Adapted comparator should be a key-compare-to comparator.");
}
template <typename Compare, typename K>
void AssertKeyCompareToNotAdapted() {
using Unadapted = typename key_compare_to_adapter<Compare>::type;
static_assert(
std::is_same<Unadapted, Compare>::value,
"key_compare_to_adapter shouldn't have adapted this comparator.");
static_assert(
std::is_same<bool,
absl::result_of_t<Unadapted(const K &, const K &)>>::value,
"Un-adapted comparator should return bool.");
}
TEST(Btree, KeyCompareToAdapter) {
AssertKeyCompareToAdapted<std::less<std::string>, std::string>();
AssertKeyCompareToAdapted<std::greater<std::string>, std::string>();
AssertKeyCompareToAdapted<std::less<absl::string_view>, absl::string_view>();
AssertKeyCompareToAdapted<std::greater<absl::string_view>,
absl::string_view>();
AssertKeyCompareToNotAdapted<std::less<int>, int>();
AssertKeyCompareToNotAdapted<std::greater<int>, int>();
}
TEST(Btree, RValueInsert) {
InstanceTracker tracker;
absl::btree_set<MovableOnlyInstance> set;
set.insert(MovableOnlyInstance(1));
set.insert(MovableOnlyInstance(3));
MovableOnlyInstance two(2);
set.insert(set.find(MovableOnlyInstance(3)), std::move(two));
auto it = set.find(MovableOnlyInstance(2));
ASSERT_NE(it, set.end());
ASSERT_NE(++it, set.end());
EXPECT_EQ(it->value(), 3);
absl::btree_multiset<MovableOnlyInstance> mset;
MovableOnlyInstance zero(0);
MovableOnlyInstance zero2(0);
mset.insert(std::move(zero));
mset.insert(mset.find(MovableOnlyInstance(0)), std::move(zero2));
EXPECT_EQ(mset.count(MovableOnlyInstance(0)), 2);
absl::btree_map<int, MovableOnlyInstance> map;
std::pair<const int, MovableOnlyInstance> p1 = {1, MovableOnlyInstance(5)};
std::pair<const int, MovableOnlyInstance> p2 = {2, MovableOnlyInstance(10)};
std::pair<const int, MovableOnlyInstance> p3 = {3, MovableOnlyInstance(15)};
map.insert(std::move(p1));
map.insert(std::move(p3));
map.insert(map.find(3), std::move(p2));
ASSERT_NE(map.find(2), map.end());
EXPECT_EQ(map.find(2)->second.value(), 10);
absl::btree_multimap<int, MovableOnlyInstance> mmap;
std::pair<const int, MovableOnlyInstance> p4 = {1, MovableOnlyInstance(5)};
std::pair<const int, MovableOnlyInstance> p5 = {1, MovableOnlyInstance(10)};
mmap.insert(std::move(p4));
mmap.insert(mmap.find(1), std::move(p5));
auto range = mmap.equal_range(1);
auto it1 = range.first;
ASSERT_NE(it1, range.second);
EXPECT_EQ(it1->second.value(), 10);
ASSERT_NE(++it1, range.second);
EXPECT_EQ(it1->second.value(), 5);
EXPECT_EQ(++it1, range.second);
EXPECT_EQ(tracker.copies(), 0);
EXPECT_EQ(tracker.swaps(), 0);
}
} // namespace
class BtreeNodePeer {
public:
// Yields the size of a leaf node with a specific number of values.
template <typename ValueType>
constexpr static size_t GetTargetNodeSize(size_t target_values_per_node) {
return btree_node<
set_params<ValueType, std::less<ValueType>, std::allocator<ValueType>,
/*TargetNodeSize=*/256, // This parameter isn't used here.
/*Multi=*/false>>::SizeWithNValues(target_values_per_node);
}
// Yields the number of values in a (non-root) leaf node for this set.
template <typename Set>
constexpr static size_t GetNumValuesPerNode() {
return btree_node<typename Set::params_type>::kNodeValues;
}
};
namespace {
// A btree set with a specific number of values per node.
template <typename Key, int TargetValuesPerNode, typename Cmp = std::less<Key>>
class SizedBtreeSet
: public btree_set_container<btree<
set_params<Key, Cmp, std::allocator<Key>,
BtreeNodePeer::GetTargetNodeSize<Key>(TargetValuesPerNode),
/*Multi=*/false>>> {
using Base = typename SizedBtreeSet::btree_set_container;
public:
SizedBtreeSet() {}
using Base::Base;
};
template <typename Set>
void ExpectOperationCounts(const int expected_moves,
const int expected_comparisons,
const std::vector<int> &values,
InstanceTracker *tracker, Set *set) {
for (const int v : values) set->insert(MovableOnlyInstance(v));
set->clear();
EXPECT_EQ(tracker->moves(), expected_moves);
EXPECT_EQ(tracker->comparisons(), expected_comparisons);
EXPECT_EQ(tracker->copies(), 0);
EXPECT_EQ(tracker->swaps(), 0);
tracker->ResetCopiesMovesSwaps();
}
// Note: when the values in this test change, it is expected to have an impact
// on performance.
TEST(Btree, MovesComparisonsCopiesSwapsTracking) {
InstanceTracker tracker;
// Note: this is minimum number of values per node.
SizedBtreeSet<MovableOnlyInstance, /*TargetValuesPerNode=*/3> set3;
// Note: this is the default number of values per node for a set of int32s
// (with 64-bit pointers).
SizedBtreeSet<MovableOnlyInstance, /*TargetValuesPerNode=*/61> set61;
SizedBtreeSet<MovableOnlyInstance, /*TargetValuesPerNode=*/100> set100;
// Don't depend on flags for random values because then the expectations will
// fail if the flags change.
std::vector<int> values =
GenerateValuesWithSeed<int>(10000, 1 << 22, /*seed=*/23);
EXPECT_EQ(BtreeNodePeer::GetNumValuesPerNode<decltype(set3)>(), 3);
EXPECT_EQ(BtreeNodePeer::GetNumValuesPerNode<decltype(set61)>(), 61);
EXPECT_EQ(BtreeNodePeer::GetNumValuesPerNode<decltype(set100)>(), 100);
if (sizeof(void *) == 8) {
EXPECT_EQ(BtreeNodePeer::GetNumValuesPerNode<absl::btree_set<int32_t>>(),
BtreeNodePeer::GetNumValuesPerNode<decltype(set61)>());
}
// Test key insertion/deletion in random order.
ExpectOperationCounts(45281, 132551, values, &tracker, &set3);
ExpectOperationCounts(386718, 129807, values, &tracker, &set61);
ExpectOperationCounts(586761, 130310, values, &tracker, &set100);
// Test key insertion/deletion in sorted order.
std::sort(values.begin(), values.end());
ExpectOperationCounts(26638, 92134, values, &tracker, &set3);
ExpectOperationCounts(20208, 87757, values, &tracker, &set61);
ExpectOperationCounts(20124, 96583, values, &tracker, &set100);
// Test key insertion/deletion in reverse sorted order.
std::reverse(values.begin(), values.end());
ExpectOperationCounts(49951, 119325, values, &tracker, &set3);
ExpectOperationCounts(338813, 118266, values, &tracker, &set61);
ExpectOperationCounts(534529, 125279, values, &tracker, &set100);
}
struct MovableOnlyInstanceThreeWayCompare {
absl::weak_ordering operator()(const MovableOnlyInstance &a,
const MovableOnlyInstance &b) const {
return a.compare(b);
}
};
// Note: when the values in this test change, it is expected to have an impact
// on performance.
TEST(Btree, MovesComparisonsCopiesSwapsTrackingThreeWayCompare) {
InstanceTracker tracker;
// Note: this is minimum number of values per node.
SizedBtreeSet<MovableOnlyInstance, /*TargetValuesPerNode=*/3,
MovableOnlyInstanceThreeWayCompare>
set3;
// Note: this is the default number of values per node for a set of int32s
// (with 64-bit pointers).
SizedBtreeSet<MovableOnlyInstance, /*TargetValuesPerNode=*/61,
MovableOnlyInstanceThreeWayCompare>
set61;
SizedBtreeSet<MovableOnlyInstance, /*TargetValuesPerNode=*/100,
MovableOnlyInstanceThreeWayCompare>
set100;
// Don't depend on flags for random values because then the expectations will
// fail if the flags change.
std::vector<int> values =
GenerateValuesWithSeed<int>(10000, 1 << 22, /*seed=*/23);
EXPECT_EQ(BtreeNodePeer::GetNumValuesPerNode<decltype(set3)>(), 3);
EXPECT_EQ(BtreeNodePeer::GetNumValuesPerNode<decltype(set61)>(), 61);
EXPECT_EQ(BtreeNodePeer::GetNumValuesPerNode<decltype(set100)>(), 100);
if (sizeof(void *) == 8) {
EXPECT_EQ(BtreeNodePeer::GetNumValuesPerNode<absl::btree_set<int32_t>>(),
BtreeNodePeer::GetNumValuesPerNode<decltype(set61)>());
}
// Test key insertion/deletion in random order.
ExpectOperationCounts(45281, 122560, values, &tracker, &set3);
ExpectOperationCounts(386718, 119816, values, &tracker, &set61);
ExpectOperationCounts(586761, 120319, values, &tracker, &set100);
// Test key insertion/deletion in sorted order.
std::sort(values.begin(), values.end());
ExpectOperationCounts(26638, 92134, values, &tracker, &set3);
ExpectOperationCounts(20208, 87757, values, &tracker, &set61);
ExpectOperationCounts(20124, 96583, values, &tracker, &set100);
// Test key insertion/deletion in reverse sorted order.
std::reverse(values.begin(), values.end());
ExpectOperationCounts(49951, 109326, values, &tracker, &set3);
ExpectOperationCounts(338813, 108267, values, &tracker, &set61);
ExpectOperationCounts(534529, 115280, values, &tracker, &set100);
}
struct NoDefaultCtor {
int num;
explicit NoDefaultCtor(int i) : num(i) {}
friend bool operator<(const NoDefaultCtor& a, const NoDefaultCtor& b) {
return a.num < b.num;
}
};
TEST(Btree, BtreeMapCanHoldNoDefaultCtorTypes) {
absl::btree_map<NoDefaultCtor, NoDefaultCtor> m;
for (int i = 1; i <= 99; ++i) {
SCOPED_TRACE(i);
EXPECT_TRUE(m.emplace(NoDefaultCtor(i), NoDefaultCtor(100 - i)).second);
}
EXPECT_FALSE(m.emplace(NoDefaultCtor(78), NoDefaultCtor(0)).second);
auto iter99 = m.find(NoDefaultCtor(99));
ASSERT_NE(iter99, m.end());
EXPECT_EQ(iter99->second.num, 1);
auto iter1 = m.find(NoDefaultCtor(1));
ASSERT_NE(iter1, m.end());
EXPECT_EQ(iter1->second.num, 99);
auto iter50 = m.find(NoDefaultCtor(50));
ASSERT_NE(iter50, m.end());
EXPECT_EQ(iter50->second.num, 50);
auto iter25 = m.find(NoDefaultCtor(25));
ASSERT_NE(iter25, m.end());
EXPECT_EQ(iter25->second.num, 75);
}
TEST(Btree, BtreeMultimapCanHoldNoDefaultCtorTypes) {
absl::btree_multimap<NoDefaultCtor, NoDefaultCtor> m;
for (int i = 1; i <= 99; ++i) {
SCOPED_TRACE(i);
m.emplace(NoDefaultCtor(i), NoDefaultCtor(100 - i));
}
auto iter99 = m.find(NoDefaultCtor(99));
ASSERT_NE(iter99, m.end());
EXPECT_EQ(iter99->second.num, 1);
auto iter1 = m.find(NoDefaultCtor(1));
ASSERT_NE(iter1, m.end());
EXPECT_EQ(iter1->second.num, 99);
auto iter50 = m.find(NoDefaultCtor(50));
ASSERT_NE(iter50, m.end());
EXPECT_EQ(iter50->second.num, 50);
auto iter25 = m.find(NoDefaultCtor(25));
ASSERT_NE(iter25, m.end());
EXPECT_EQ(iter25->second.num, 75);
}
TEST(Btree, MapAt) {
absl::btree_map<int, int> map = {{1, 2}, {2, 4}};
EXPECT_EQ(map.at(1), 2);
EXPECT_EQ(map.at(2), 4);
map.at(2) = 8;
const absl::btree_map<int, int> &const_map = map;
EXPECT_EQ(const_map.at(1), 2);
EXPECT_EQ(const_map.at(2), 8);
try {
map.at(3);
FAIL() << "Exception not thrown";
} catch (const std::out_of_range& e) {
EXPECT_STREQ(e.what(), "absl::btree_map::at");
}
}
TEST(Btree, BtreeMultisetEmplace) {
const int value_to_insert = 123456;
absl::btree_multiset<int> s;
auto iter = s.emplace(value_to_insert);
ASSERT_NE(iter, s.end());
EXPECT_EQ(*iter, value_to_insert);
auto iter2 = s.emplace(value_to_insert);
EXPECT_NE(iter2, iter);
ASSERT_NE(iter2, s.end());
EXPECT_EQ(*iter2, value_to_insert);
auto result = s.equal_range(value_to_insert);
EXPECT_EQ(std::distance(result.first, result.second), 2);
}
TEST(Btree, BtreeMultisetEmplaceHint) {
const int value_to_insert = 123456;
absl::btree_multiset<int> s;
auto iter = s.emplace(value_to_insert);
ASSERT_NE(iter, s.end());
EXPECT_EQ(*iter, value_to_insert);
auto emplace_iter = s.emplace_hint(iter, value_to_insert);
EXPECT_NE(emplace_iter, iter);
ASSERT_NE(emplace_iter, s.end());
EXPECT_EQ(*emplace_iter, value_to_insert);
}
TEST(Btree, BtreeMultimapEmplace) {
const int key_to_insert = 123456;
const char value0[] = "a";
absl::btree_multimap<int, std::string> s;
auto iter = s.emplace(key_to_insert, value0);
ASSERT_NE(iter, s.end());
EXPECT_EQ(iter->first, key_to_insert);
EXPECT_EQ(iter->second, value0);
const char value1[] = "b";
auto iter2 = s.emplace(key_to_insert, value1);
EXPECT_NE(iter2, iter);
ASSERT_NE(iter2, s.end());
EXPECT_EQ(iter2->first, key_to_insert);
EXPECT_EQ(iter2->second, value1);
auto result = s.equal_range(key_to_insert);
EXPECT_EQ(std::distance(result.first, result.second), 2);
}
TEST(Btree, BtreeMultimapEmplaceHint) {
const int key_to_insert = 123456;
const char value0[] = "a";
absl::btree_multimap<int, std::string> s;
auto iter = s.emplace(key_to_insert, value0);
ASSERT_NE(iter, s.end());
EXPECT_EQ(iter->first, key_to_insert);
EXPECT_EQ(iter->second, value0);
const char value1[] = "b";
auto emplace_iter = s.emplace_hint(iter, key_to_insert, value1);
EXPECT_NE(emplace_iter, iter);
ASSERT_NE(emplace_iter, s.end());
EXPECT_EQ(emplace_iter->first, key_to_insert);
EXPECT_EQ(emplace_iter->second, value1);
}
TEST(Btree, ConstIteratorAccessors) {
absl::btree_set<int> set;
for (int i = 0; i < 100; ++i) {
set.insert(i);
}
auto it = set.cbegin();
auto r_it = set.crbegin();
for (int i = 0; i < 100; ++i, ++it, ++r_it) {
ASSERT_EQ(*it, i);
ASSERT_EQ(*r_it, 99 - i);
}
EXPECT_EQ(it, set.cend());
EXPECT_EQ(r_it, set.crend());
}
TEST(Btree, StrSplitCompatible) {
const absl::btree_set<std::string> split_set = absl::StrSplit("a,b,c", ',');
const absl::btree_set<std::string> expected_set = {"a", "b", "c"};
EXPECT_EQ(split_set, expected_set);
}
// We can't use EXPECT_EQ/etc. to compare absl::weak_ordering because they
// convert literal 0 to int and absl::weak_ordering can only be compared with
// literal 0. Defining this function allows for avoiding ClangTidy warnings.
bool Identity(const bool b) { return b; }
TEST(Btree, ValueComp) {
absl::btree_set<int> s;
EXPECT_TRUE(s.value_comp()(1, 2));
EXPECT_FALSE(s.value_comp()(2, 2));
EXPECT_FALSE(s.value_comp()(2, 1));
absl::btree_map<int, int> m1;
EXPECT_TRUE(m1.value_comp()(std::make_pair(1, 0), std::make_pair(2, 0)));
EXPECT_FALSE(m1.value_comp()(std::make_pair(2, 0), std::make_pair(2, 0)));
EXPECT_FALSE(m1.value_comp()(std::make_pair(2, 0), std::make_pair(1, 0)));
absl::btree_map<std::string, int> m2;
EXPECT_TRUE(Identity(
m2.value_comp()(std::make_pair("a", 0), std::make_pair("b", 0)) < 0));
EXPECT_TRUE(Identity(
m2.value_comp()(std::make_pair("b", 0), std::make_pair("b", 0)) == 0));
EXPECT_TRUE(Identity(
m2.value_comp()(std::make_pair("b", 0), std::make_pair("a", 0)) > 0));
}
TEST(Btree, DefaultConstruction) {
absl::btree_set<int> s;
absl::btree_map<int, int> m;
absl::btree_multiset<int> ms;
absl::btree_multimap<int, int> mm;
EXPECT_TRUE(s.empty());
EXPECT_TRUE(m.empty());
EXPECT_TRUE(ms.empty());
EXPECT_TRUE(mm.empty());
}
TEST(Btree, SwissTableHashable) {
static constexpr int kValues = 10000;
std::vector<int> values(kValues);
std::iota(values.begin(), values.end(), 0);
std::vector<std::pair<int, int>> map_values;
for (int v : values) map_values.emplace_back(v, -v);
using set = absl::btree_set<int>;
EXPECT_TRUE(absl::VerifyTypeImplementsAbslHashCorrectly({
set{},
set{1},
set{2},
set{1, 2},
set{2, 1},
set(values.begin(), values.end()),
set(values.rbegin(), values.rend()),
}));
using mset = absl::btree_multiset<int>;
EXPECT_TRUE(absl::VerifyTypeImplementsAbslHashCorrectly({
mset{},
mset{1},
mset{1, 1},
mset{2},
mset{2, 2},
mset{1, 2},
mset{1, 1, 2},
mset{1, 2, 2},
mset{1, 1, 2, 2},
mset(values.begin(), values.end()),
mset(values.rbegin(), values.rend()),
}));
using map = absl::btree_map<int, int>;
EXPECT_TRUE(absl::VerifyTypeImplementsAbslHashCorrectly({
map{},
map{{1, 0}},
map{{1, 1}},
map{{2, 0}},
map{{2, 2}},
map{{1, 0}, {2, 1}},
map(map_values.begin(), map_values.end()),
map(map_values.rbegin(), map_values.rend()),
}));
using mmap = absl::btree_multimap<int, int>;
EXPECT_TRUE(absl::VerifyTypeImplementsAbslHashCorrectly({
mmap{},
mmap{{1, 0}},
mmap{{1, 1}},
mmap{{1, 0}, {1, 1}},
mmap{{1, 1}, {1, 0}},
mmap{{2, 0}},
mmap{{2, 2}},
mmap{{1, 0}, {2, 1}},
mmap(map_values.begin(), map_values.end()),
mmap(map_values.rbegin(), map_values.rend()),
}));
}
TEST(Btree, ComparableSet) {
absl::btree_set<int> s1 = {1, 2};
absl::btree_set<int> s2 = {2, 3};
EXPECT_LT(s1, s2);
EXPECT_LE(s1, s2);
EXPECT_LE(s1, s1);
EXPECT_GT(s2, s1);
EXPECT_GE(s2, s1);
EXPECT_GE(s1, s1);
}
TEST(Btree, ComparableSetsDifferentLength) {
absl::btree_set<int> s1 = {1, 2};
absl::btree_set<int> s2 = {1, 2, 3};
EXPECT_LT(s1, s2);
EXPECT_LE(s1, s2);
EXPECT_GT(s2, s1);
EXPECT_GE(s2, s1);
}
TEST(Btree, ComparableMultiset) {
absl::btree_multiset<int> s1 = {1, 2};
absl::btree_multiset<int> s2 = {2, 3};
EXPECT_LT(s1, s2);
EXPECT_LE(s1, s2);
EXPECT_LE(s1, s1);
EXPECT_GT(s2, s1);
EXPECT_GE(s2, s1);
EXPECT_GE(s1, s1);
}
TEST(Btree, ComparableMap) {
absl::btree_map<int, int> s1 = {{1, 2}};
absl::btree_map<int, int> s2 = {{2, 3}};
EXPECT_LT(s1, s2);
EXPECT_LE(s1, s2);
EXPECT_LE(s1, s1);
EXPECT_GT(s2, s1);
EXPECT_GE(s2, s1);
EXPECT_GE(s1, s1);
}
TEST(Btree, ComparableMultimap) {
absl::btree_multimap<int, int> s1 = {{1, 2}};
absl::btree_multimap<int, int> s2 = {{2, 3}};
EXPECT_LT(s1, s2);
EXPECT_LE(s1, s2);
EXPECT_LE(s1, s1);
EXPECT_GT(s2, s1);
EXPECT_GE(s2, s1);
EXPECT_GE(s1, s1);
}
TEST(Btree, ComparableSetWithCustomComparator) {
// As specified by
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2012/n3337.pdf section
// [container.requirements.general].12, ordering associative containers always
// uses default '<' operator
// - even if otherwise the container uses custom functor.
absl::btree_set<int, std::greater<int>> s1 = {1, 2};
absl::btree_set<int, std::greater<int>> s2 = {2, 3};
EXPECT_LT(s1, s2);
EXPECT_LE(s1, s2);
EXPECT_LE(s1, s1);
EXPECT_GT(s2, s1);
EXPECT_GE(s2, s1);
EXPECT_GE(s1, s1);
}
TEST(Btree, EraseReturnsIterator) {
absl::btree_set<int> set = {1, 2, 3, 4, 5};
auto result_it = set.erase(set.begin(), set.find(3));
EXPECT_EQ(result_it, set.find(3));
result_it = set.erase(set.find(5));
EXPECT_EQ(result_it, set.end());
}
TEST(Btree, ExtractAndInsertNodeHandleSet) {
absl::btree_set<int> src1 = {1, 2, 3, 4, 5};
auto nh = src1.extract(src1.find(3));
EXPECT_THAT(src1, ElementsAre(1, 2, 4, 5));
absl::btree_set<int> other;
absl::btree_set<int>::insert_return_type res = other.insert(std::move(nh));
EXPECT_THAT(other, ElementsAre(3));
EXPECT_EQ(res.position, other.find(3));
EXPECT_TRUE(res.inserted);
EXPECT_TRUE(res.node.empty());
absl::btree_set<int> src2 = {3, 4};
nh = src2.extract(src2.find(3));
EXPECT_THAT(src2, ElementsAre(4));
res = other.insert(std::move(nh));
EXPECT_THAT(other, ElementsAre(3));
EXPECT_EQ(res.position, other.find(3));
EXPECT_FALSE(res.inserted);
ASSERT_FALSE(res.node.empty());
EXPECT_EQ(res.node.value(), 3);
}
struct Deref {
bool operator()(const std::unique_ptr<int> &lhs,
const std::unique_ptr<int> &rhs) const {
return *lhs < *rhs;
}
};
TEST(Btree, ExtractWithUniquePtr) {
absl::btree_set<std::unique_ptr<int>, Deref> s;
s.insert(absl::make_unique<int>(1));
s.insert(absl::make_unique<int>(2));
s.insert(absl::make_unique<int>(3));
s.insert(absl::make_unique<int>(4));
s.insert(absl::make_unique<int>(5));
auto nh = s.extract(s.find(absl::make_unique<int>(3)));
EXPECT_EQ(s.size(), 4);
EXPECT_EQ(*nh.value(), 3);
s.insert(std::move(nh));
EXPECT_EQ(s.size(), 5);
}
TEST(Btree, ExtractAndInsertNodeHandleMultiSet) {
absl::btree_multiset<int> src1 = {1, 2, 3, 3, 4, 5};
auto nh = src1.extract(src1.find(3));
EXPECT_THAT(src1, ElementsAre(1, 2, 3, 4, 5));
absl::btree_multiset<int> other;
auto res = other.insert(std::move(nh));
EXPECT_THAT(other, ElementsAre(3));
EXPECT_EQ(res, other.find(3));
absl::btree_multiset<int> src2 = {3, 4};
nh = src2.extract(src2.find(3));
EXPECT_THAT(src2, ElementsAre(4));
res = other.insert(std::move(nh));
EXPECT_THAT(other, ElementsAre(3, 3));
EXPECT_EQ(res, ++other.find(3));
}
TEST(Btree, ExtractAndInsertNodeHandleMap) {
absl::btree_map<int, int> src1 = {{1, 2}, {3, 4}, {5, 6}};
auto nh = src1.extract(src1.find(3));
EXPECT_THAT(src1, ElementsAre(Pair(1, 2), Pair(5, 6)));
absl::btree_map<int, int> other;
absl::btree_map<int, int>::insert_return_type res =
other.insert(std::move(nh));
EXPECT_THAT(other, ElementsAre(Pair(3, 4)));
EXPECT_EQ(res.position, other.find(3));
EXPECT_TRUE(res.inserted);
EXPECT_TRUE(res.node.empty());
absl::btree_map<int, int> src2 = {{3, 6}};
nh = src2.extract(src2.find(3));
EXPECT_TRUE(src2.empty());
res = other.insert(std::move(nh));
EXPECT_THAT(other, ElementsAre(Pair(3, 4)));
EXPECT_EQ(res.position, other.find(3));
EXPECT_FALSE(res.inserted);
ASSERT_FALSE(res.node.empty());
EXPECT_EQ(res.node.key(), 3);
EXPECT_EQ(res.node.mapped(), 6);
}
TEST(Btree, ExtractAndInsertNodeHandleMultiMap) {
absl::btree_multimap<int, int> src1 = {{1, 2}, {3, 4}, {5, 6}};
auto nh = src1.extract(src1.find(3));
EXPECT_THAT(src1, ElementsAre(Pair(1, 2), Pair(5, 6)));
absl::btree_multimap<int, int> other;
auto res = other.insert(std::move(nh));
EXPECT_THAT(other, ElementsAre(Pair(3, 4)));
EXPECT_EQ(res, other.find(3));
absl::btree_multimap<int, int> src2 = {{3, 6}};
nh = src2.extract(src2.find(3));
EXPECT_TRUE(src2.empty());
res = other.insert(std::move(nh));
EXPECT_THAT(other, ElementsAre(Pair(3, 4), Pair(3, 6)));
EXPECT_EQ(res, ++other.begin());
}
// For multisets, insert with hint also affects correctness because we need to
// insert immediately before the hint if possible.
struct InsertMultiHintData {
int key;
int not_key;
bool operator==(const InsertMultiHintData other) const {
return key == other.key && not_key == other.not_key;
}
};
struct InsertMultiHintDataKeyCompare {
using is_transparent = void;
bool operator()(const InsertMultiHintData a,
const InsertMultiHintData b) const {
return a.key < b.key;
}
bool operator()(const int a, const InsertMultiHintData b) const {
return a < b.key;
}
bool operator()(const InsertMultiHintData a, const int b) const {
return a.key < b;
}
};
TEST(Btree, InsertHintNodeHandle) {
// For unique sets, insert with hint is just a performance optimization.
// Test that insert works correctly when the hint is right or wrong.
{
absl::btree_set<int> src = {1, 2, 3, 4, 5};
auto nh = src.extract(src.find(3));
EXPECT_THAT(src, ElementsAre(1, 2, 4, 5));
absl::btree_set<int> other = {0, 100};
// Test a correct hint.
auto it = other.insert(other.lower_bound(3), std::move(nh));
EXPECT_THAT(other, ElementsAre(0, 3, 100));
EXPECT_EQ(it, other.find(3));
nh = src.extract(src.find(5));
// Test an incorrect hint.
it = other.insert(other.end(), std::move(nh));
EXPECT_THAT(other, ElementsAre(0, 3, 5, 100));
EXPECT_EQ(it, other.find(5));
}
absl::btree_multiset<InsertMultiHintData, InsertMultiHintDataKeyCompare> src =
{{1, 2}, {3, 4}, {3, 5}};
auto nh = src.extract(src.lower_bound(3));
EXPECT_EQ(nh.value(), (InsertMultiHintData{3, 4}));
absl::btree_multiset<InsertMultiHintData, InsertMultiHintDataKeyCompare>
other = {{3, 1}, {3, 2}, {3, 3}};
auto it = other.insert(--other.end(), std::move(nh));
EXPECT_THAT(
other, ElementsAre(InsertMultiHintData{3, 1}, InsertMultiHintData{3, 2},
InsertMultiHintData{3, 4}, InsertMultiHintData{3, 3}));
EXPECT_EQ(it, --(--other.end()));
nh = src.extract(src.find(3));
EXPECT_EQ(nh.value(), (InsertMultiHintData{3, 5}));
it = other.insert(other.begin(), std::move(nh));
EXPECT_THAT(other,
ElementsAre(InsertMultiHintData{3, 5}, InsertMultiHintData{3, 1},
InsertMultiHintData{3, 2}, InsertMultiHintData{3, 4},
InsertMultiHintData{3, 3}));
EXPECT_EQ(it, other.begin());
}
struct IntCompareToCmp {
absl::weak_ordering operator()(int a, int b) const {
if (a < b) return absl::weak_ordering::less;
if (a > b) return absl::weak_ordering::greater;
return absl::weak_ordering::equivalent;
}
};
TEST(Btree, MergeIntoUniqueContainers) {
absl::btree_set<int, IntCompareToCmp> src1 = {1, 2, 3};
absl::btree_multiset<int> src2 = {3, 4, 4, 5};
absl::btree_set<int> dst;
dst.merge(src1);
EXPECT_TRUE(src1.empty());
EXPECT_THAT(dst, ElementsAre(1, 2, 3));
dst.merge(src2);
EXPECT_THAT(src2, ElementsAre(3, 4));
EXPECT_THAT(dst, ElementsAre(1, 2, 3, 4, 5));
}
TEST(Btree, MergeIntoUniqueContainersWithCompareTo) {
absl::btree_set<int, IntCompareToCmp> src1 = {1, 2, 3};
absl::btree_multiset<int> src2 = {3, 4, 4, 5};
absl::btree_set<int, IntCompareToCmp> dst;
dst.merge(src1);
EXPECT_TRUE(src1.empty());
EXPECT_THAT(dst, ElementsAre(1, 2, 3));
dst.merge(src2);
EXPECT_THAT(src2, ElementsAre(3, 4));
EXPECT_THAT(dst, ElementsAre(1, 2, 3, 4, 5));
}
TEST(Btree, MergeIntoMultiContainers) {
absl::btree_set<int, IntCompareToCmp> src1 = {1, 2, 3};
absl::btree_multiset<int> src2 = {3, 4, 4, 5};
absl::btree_multiset<int> dst;
dst.merge(src1);
EXPECT_TRUE(src1.empty());
EXPECT_THAT(dst, ElementsAre(1, 2, 3));
dst.merge(src2);
EXPECT_TRUE(src2.empty());
EXPECT_THAT(dst, ElementsAre(1, 2, 3, 3, 4, 4, 5));
}
TEST(Btree, MergeIntoMultiContainersWithCompareTo) {
absl::btree_set<int, IntCompareToCmp> src1 = {1, 2, 3};
absl::btree_multiset<int> src2 = {3, 4, 4, 5};
absl::btree_multiset<int, IntCompareToCmp> dst;
dst.merge(src1);
EXPECT_TRUE(src1.empty());
EXPECT_THAT(dst, ElementsAre(1, 2, 3));
dst.merge(src2);
EXPECT_TRUE(src2.empty());
EXPECT_THAT(dst, ElementsAre(1, 2, 3, 3, 4, 4, 5));
}
TEST(Btree, MergeIntoMultiMapsWithDifferentComparators) {
absl::btree_map<int, int, IntCompareToCmp> src1 = {{1, 1}, {2, 2}, {3, 3}};
absl::btree_multimap<int, int, std::greater<int>> src2 = {
{5, 5}, {4, 1}, {4, 4}, {3, 2}};
absl::btree_multimap<int, int> dst;
dst.merge(src1);
EXPECT_TRUE(src1.empty());
EXPECT_THAT(dst, ElementsAre(Pair(1, 1), Pair(2, 2), Pair(3, 3)));
dst.merge(src2);
EXPECT_TRUE(src2.empty());
EXPECT_THAT(dst, ElementsAre(Pair(1, 1), Pair(2, 2), Pair(3, 3), Pair(3, 2),
Pair(4, 1), Pair(4, 4), Pair(5, 5)));
}
struct KeyCompareToWeakOrdering {
template <typename T>
absl::weak_ordering operator()(const T &a, const T &b) const {
return a < b ? absl::weak_ordering::less
: a == b ? absl::weak_ordering::equivalent
: absl::weak_ordering::greater;
}
};
struct KeyCompareToStrongOrdering {
template <typename T>
absl::strong_ordering operator()(const T &a, const T &b) const {
return a < b ? absl::strong_ordering::less
: a == b ? absl::strong_ordering::equal
: absl::strong_ordering::greater;
}
};
TEST(Btree, UserProvidedKeyCompareToComparators) {
absl::btree_set<int, KeyCompareToWeakOrdering> weak_set = {1, 2, 3};
EXPECT_TRUE(weak_set.contains(2));
EXPECT_FALSE(weak_set.contains(4));
absl::btree_set<int, KeyCompareToStrongOrdering> strong_set = {1, 2, 3};
EXPECT_TRUE(strong_set.contains(2));
EXPECT_FALSE(strong_set.contains(4));
}
TEST(Btree, TryEmplaceBasicTest) {
absl::btree_map<int, std::string> m;
// Should construct a std::string from the literal.
m.try_emplace(1, "one");
EXPECT_EQ(1, m.size());
// Try other std::string constructors and const lvalue key.
const int key(42);
m.try_emplace(key, 3, 'a');
m.try_emplace(2, std::string("two"));
EXPECT_TRUE(std::is_sorted(m.begin(), m.end()));
EXPECT_THAT(m, ElementsAreArray(std::vector<std::pair<int, std::string>>{
{1, "one"}, {2, "two"}, {42, "aaa"}}));
}
TEST(Btree, TryEmplaceWithHintWorks) {
// Use a counting comparator here to verify that hint is used.
int calls = 0;
auto cmp = [&calls](int x, int y) {
++calls;
return x < y;
};
using Cmp = decltype(cmp);
absl::btree_map<int, int, Cmp> m(cmp);
for (int i = 0; i < 128; ++i) {
m.emplace(i, i);
}
// Sanity check for the comparator
calls = 0;
m.emplace(127, 127);
EXPECT_GE(calls, 4);
// Try with begin hint:
calls = 0;
auto it = m.try_emplace(m.begin(), -1, -1);
EXPECT_EQ(129, m.size());
EXPECT_EQ(it, m.begin());
EXPECT_LE(calls, 2);
// Try with end hint:
calls = 0;
std::pair<int, int> pair1024 = {1024, 1024};
it = m.try_emplace(m.end(), pair1024.first, pair1024.second);
EXPECT_EQ(130, m.size());
EXPECT_EQ(it, --m.end());
EXPECT_LE(calls, 2);
// Try value already present, bad hint; ensure no duplicate added:
calls = 0;
it = m.try_emplace(m.end(), 16, 17);
EXPECT_EQ(130, m.size());
EXPECT_GE(calls, 4);
EXPECT_EQ(it, m.find(16));
// Try value already present, hint points directly to it:
calls = 0;
it = m.try_emplace(it, 16, 17);
EXPECT_EQ(130, m.size());
EXPECT_LE(calls, 2);
EXPECT_EQ(it, m.find(16));
m.erase(2);
EXPECT_EQ(129, m.size());
auto hint = m.find(3);
// Try emplace in the middle of two other elements.
calls = 0;
m.try_emplace(hint, 2, 2);
EXPECT_EQ(130, m.size());
EXPECT_LE(calls, 2);
EXPECT_TRUE(std::is_sorted(m.begin(), m.end()));
}
TEST(Btree, TryEmplaceWithBadHint) {
absl::btree_map<int, int> m = {{1, 1}, {9, 9}};
// Bad hint (too small), should still emplace:
auto it = m.try_emplace(m.begin(), 2, 2);
EXPECT_EQ(it, ++m.begin());
EXPECT_THAT(m, ElementsAreArray(
std::vector<std::pair<int, int>>{{1, 1}, {2, 2}, {9, 9}}));
// Bad hint, too large this time:
it = m.try_emplace(++(++m.begin()), 0, 0);
EXPECT_EQ(it, m.begin());
EXPECT_THAT(m, ElementsAreArray(std::vector<std::pair<int, int>>{
{0, 0}, {1, 1}, {2, 2}, {9, 9}}));
}
TEST(Btree, TryEmplaceMaintainsSortedOrder) {
absl::btree_map<int, std::string> m;
std::pair<int, std::string> pair5 = {5, "five"};
// Test both lvalue & rvalue emplace.
m.try_emplace(10, "ten");
m.try_emplace(pair5.first, pair5.second);
EXPECT_EQ(2, m.size());
EXPECT_TRUE(std::is_sorted(m.begin(), m.end()));
int int100{100};
m.try_emplace(int100, "hundred");
m.try_emplace(1, "one");
EXPECT_EQ(4, m.size());
EXPECT_TRUE(std::is_sorted(m.begin(), m.end()));
}
TEST(Btree, TryEmplaceWithHintAndNoValueArgsWorks) {
absl::btree_map<int, int> m;
m.try_emplace(m.end(), 1);
EXPECT_EQ(0, m[1]);
}
TEST(Btree, TryEmplaceWithHintAndMultipleValueArgsWorks) {
absl::btree_map<int, std::string> m;
m.try_emplace(m.end(), 1, 10, 'a');
EXPECT_EQ(std::string(10, 'a'), m[1]);
}
TEST(Btree, MoveAssignmentAllocatorPropagation) {
InstanceTracker tracker;
int64_t bytes1 = 0, bytes2 = 0;
PropagatingCountingAlloc<MovableOnlyInstance> allocator1(&bytes1);
PropagatingCountingAlloc<MovableOnlyInstance> allocator2(&bytes2);
std::less<MovableOnlyInstance> cmp;
// Test propagating allocator_type.
{
absl::btree_set<MovableOnlyInstance, std::less<MovableOnlyInstance>,
PropagatingCountingAlloc<MovableOnlyInstance>>
set1(cmp, allocator1), set2(cmp, allocator2);
for (int i = 0; i < 100; ++i) set1.insert(MovableOnlyInstance(i));
tracker.ResetCopiesMovesSwaps();
set2 = std::move(set1);
EXPECT_EQ(tracker.moves(), 0);
}
// Test non-propagating allocator_type with equal allocators.
{
absl::btree_set<MovableOnlyInstance, std::less<MovableOnlyInstance>,
CountingAllocator<MovableOnlyInstance>>
set1(cmp, allocator1), set2(cmp, allocator1);
for (int i = 0; i < 100; ++i) set1.insert(MovableOnlyInstance(i));
tracker.ResetCopiesMovesSwaps();
set2 = std::move(set1);
EXPECT_EQ(tracker.moves(), 0);
}
// Test non-propagating allocator_type with different allocators.
{
absl::btree_set<MovableOnlyInstance, std::less<MovableOnlyInstance>,
CountingAllocator<MovableOnlyInstance>>
set1(cmp, allocator1), set2(cmp, allocator2);
for (int i = 0; i < 100; ++i) set1.insert(MovableOnlyInstance(i));
tracker.ResetCopiesMovesSwaps();
set2 = std::move(set1);
EXPECT_GE(tracker.moves(), 100);
}
}
} // namespace
} // namespace container_internal
} // namespace absl
// Copyright 2018 The Abseil Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef ABSL_CONTAINER_BTREE_TEST_H_
#define ABSL_CONTAINER_BTREE_TEST_H_
#include <algorithm>
#include <cassert>
#include <random>
#include <string>
#include <utility>
#include <vector>
#include "absl/container/btree_map.h"
#include "absl/container/btree_set.h"
#include "absl/container/flat_hash_set.h"
#include "absl/time/time.h"
namespace absl {
namespace container_internal {
// Like remove_const but propagates the removal through std::pair.
template <typename T>
struct remove_pair_const {
using type = typename std::remove_const<T>::type;
};
template <typename T, typename U>
struct remove_pair_const<std::pair<T, U> > {
using type = std::pair<typename remove_pair_const<T>::type,
typename remove_pair_const<U>::type>;
};
// Utility class to provide an accessor for a key given a value. The default
// behavior is to treat the value as a pair and return the first element.
template <typename K, typename V>
struct KeyOfValue {
struct type {
const K& operator()(const V& p) const { return p.first; }
};
};
// Partial specialization of KeyOfValue class for when the key and value are
// the same type such as in set<> and btree_set<>.
template <typename K>
struct KeyOfValue<K, K> {
struct type {
const K& operator()(const K& k) const { return k; }
};
};
inline char* GenerateDigits(char buf[16], unsigned val, unsigned maxval) {
assert(val <= maxval);
constexpr unsigned kBase = 64; // avoid integer division.
unsigned p = 15;
buf[p--] = 0;
while (maxval > 0) {
buf[p--] = ' ' + (val % kBase);
val /= kBase;
maxval /= kBase;
}
return buf + p + 1;
}
template <typename K>
struct Generator {
int maxval;
explicit Generator(int m) : maxval(m) {}
K operator()(int i) const {
assert(i <= maxval);
return K(i);
}
};
template <>
struct Generator<absl::Time> {
int maxval;
explicit Generator(int m) : maxval(m) {}
absl::Time operator()(int i) const { return absl::FromUnixMillis(i); }
};
template <>
struct Generator<std::string> {
int maxval;
explicit Generator(int m) : maxval(m) {}
std::string operator()(int i) const {
char buf[16];
return GenerateDigits(buf, i, maxval);
}
};
template <typename T, typename U>
struct Generator<std::pair<T, U> > {
Generator<typename remove_pair_const<T>::type> tgen;
Generator<typename remove_pair_const<U>::type> ugen;
explicit Generator(int m) : tgen(m), ugen(m) {}
std::pair<T, U> operator()(int i) const {
return std::make_pair(tgen(i), ugen(i));
}
};
// Generate n values for our tests and benchmarks. Value range is [0, maxval].
inline std::vector<int> GenerateNumbersWithSeed(int n, int maxval, int seed) {
// NOTE: Some tests rely on generated numbers not changing between test runs.
// We use std::minstd_rand0 because it is well-defined, but don't use
// std::uniform_int_distribution because platforms use different algorithms.
std::minstd_rand0 rng(seed);
std::vector<int> values;
absl::flat_hash_set<int> unique_values;
if (values.size() < n) {
for (int i = values.size(); i < n; i++) {
int value;
do {
value = static_cast<int>(rng()) % (maxval + 1);
} while (!unique_values.insert(value).second);
values.push_back(value);
}
}
return values;
}
// Generates n values in the range [0, maxval].
template <typename V>
std::vector<V> GenerateValuesWithSeed(int n, int maxval, int seed) {
const std::vector<int> nums = GenerateNumbersWithSeed(n, maxval, seed);
Generator<V> gen(maxval);
std::vector<V> vec;
vec.reserve(n);
for (int i = 0; i < n; i++) {
vec.push_back(gen(nums[i]));
}
return vec;
}
} // namespace container_internal
} // namespace absl
#endif // ABSL_CONTAINER_BTREE_TEST_H_
// Copyright 2018 The Abseil Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// A btree implementation of the STL set and map interfaces. A btree is smaller
// and generally also faster than STL set/map (refer to the benchmarks below).
// The red-black tree implementation of STL set/map has an overhead of 3
// pointers (left, right and parent) plus the node color information for each
// stored value. So a set<int32_t> consumes 40 bytes for each value stored in
// 64-bit mode. This btree implementation stores multiple values on fixed
// size nodes (usually 256 bytes) and doesn't store child pointers for leaf
// nodes. The result is that a btree_set<int32_t> may use much less memory per
// stored value. For the random insertion benchmark in btree_bench.cc, a
// btree_set<int32_t> with node-size of 256 uses 5.1 bytes per stored value.
//
// The packing of multiple values on to each node of a btree has another effect
// besides better space utilization: better cache locality due to fewer cache
// lines being accessed. Better cache locality translates into faster
// operations.
//
// CAVEATS
//
// Insertions and deletions on a btree can cause splitting, merging or
// rebalancing of btree nodes. And even without these operations, insertions
// and deletions on a btree will move values around within a node. In both
// cases, the result is that insertions and deletions can invalidate iterators
// pointing to values other than the one being inserted/deleted. Therefore, this
// container does not provide pointer stability. This is notably different from
// STL set/map which takes care to not invalidate iterators on insert/erase
// except, of course, for iterators pointing to the value being erased. A
// partial workaround when erasing is available: erase() returns an iterator
// pointing to the item just after the one that was erased (or end() if none
// exists).
#ifndef ABSL_CONTAINER_INTERNAL_BTREE_H_
#define ABSL_CONTAINER_INTERNAL_BTREE_H_
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <cstdint>
#include <cstring>
#include <functional>
#include <iterator>
#include <limits>
#include <new>
#include <string>
#include <type_traits>
#include <utility>
#include "absl/base/macros.h"
#include "absl/container/internal/common.h"
#include "absl/container/internal/compressed_tuple.h"
#include "absl/container/internal/container_memory.h"
#include "absl/container/internal/layout.h"
#include "absl/memory/memory.h"
#include "absl/meta/type_traits.h"
#include "absl/strings/string_view.h"
#include "absl/types/compare.h"
#include "absl/utility/utility.h"
namespace absl {
namespace container_internal {
// A helper class that indicates if the Compare parameter is a key-compare-to
// comparator.
template <typename Compare, typename T>
using btree_is_key_compare_to =
std::is_convertible<absl::result_of_t<Compare(const T &, const T &)>,
absl::weak_ordering>;
struct StringBtreeDefaultLess {
using is_transparent = void;
StringBtreeDefaultLess() = default;
// Compatibility constructor.
StringBtreeDefaultLess(std::less<std::string>) {} // NOLINT
StringBtreeDefaultLess(std::less<string_view>) {} // NOLINT
absl::weak_ordering operator()(absl::string_view lhs,
absl::string_view rhs) const {
return compare_internal::compare_result_as_ordering(lhs.compare(rhs));
}
};
struct StringBtreeDefaultGreater {
using is_transparent = void;
StringBtreeDefaultGreater() = default;
StringBtreeDefaultGreater(std::greater<std::string>) {} // NOLINT
StringBtreeDefaultGreater(std::greater<string_view>) {} // NOLINT
absl::weak_ordering operator()(absl::string_view lhs,
absl::string_view rhs) const {
return compare_internal::compare_result_as_ordering(rhs.compare(lhs));
}
};
// A helper class to convert a boolean comparison into a three-way "compare-to"
// comparison that returns a negative value to indicate less-than, zero to
// indicate equality and a positive value to indicate greater-than. This helper
// class is specialized for less<std::string>, greater<std::string>,
// less<string_view>, and greater<string_view>.
//
// key_compare_to_adapter is provided so that btree users
// automatically get the more efficient compare-to code when using common
// google string types with common comparison functors.
// These string-like specializations also turn on heterogeneous lookup by
// default.
template <typename Compare>
struct key_compare_to_adapter {
using type = Compare;
};
template <>
struct key_compare_to_adapter<std::less<std::string>> {
using type = StringBtreeDefaultLess;
};
template <>
struct key_compare_to_adapter<std::greater<std::string>> {
using type = StringBtreeDefaultGreater;
};
template <>
struct key_compare_to_adapter<std::less<absl::string_view>> {
using type = StringBtreeDefaultLess;
};
template <>
struct key_compare_to_adapter<std::greater<absl::string_view>> {
using type = StringBtreeDefaultGreater;
};
template <typename Key, typename Compare, typename Alloc, int TargetNodeSize,
bool Multi, typename SlotPolicy>
struct common_params {
// If Compare is a common comparator for a std::string-like type, then we adapt it
// to use heterogeneous lookup and to be a key-compare-to comparator.
using key_compare = typename key_compare_to_adapter<Compare>::type;
// A type which indicates if we have a key-compare-to functor or a plain old
// key-compare functor.
using is_key_compare_to = btree_is_key_compare_to<key_compare, Key>;
using allocator_type = Alloc;
using key_type = Key;
using size_type = std::make_signed<size_t>::type;
using difference_type = ptrdiff_t;
// True if this is a multiset or multimap.
using is_multi_container = std::integral_constant<bool, Multi>;
using slot_policy = SlotPolicy;
using slot_type = typename slot_policy::slot_type;
using value_type = typename slot_policy::value_type;
using init_type = typename slot_policy::mutable_value_type;
using pointer = value_type *;
using const_pointer = const value_type *;
using reference = value_type &;
using const_reference = const value_type &;
enum {
kTargetNodeSize = TargetNodeSize,
// Upper bound for the available space for values. This is largest for leaf
// nodes, which have overhead of at least a pointer + 4 bytes (for storing
// 3 field_types and an enum).
kNodeValueSpace =
TargetNodeSize - /*minimum overhead=*/(sizeof(void *) + 4),
};
// This is an integral type large enough to hold as many
// ValueSize-values as will fit a node of TargetNodeSize bytes.
using node_count_type =
absl::conditional_t<(kNodeValueSpace / sizeof(value_type) >
(std::numeric_limits<uint8_t>::max)()),
uint16_t, uint8_t>; // NOLINT
// The following methods are necessary for passing this struct as PolicyTraits
// for node_handle and/or are used within btree.
static value_type &element(slot_type *slot) {
return slot_policy::element(slot);
}
static const value_type &element(const slot_type *slot) {
return slot_policy::element(slot);
}
template <class... Args>
static void construct(Alloc *alloc, slot_type *slot, Args &&... args) {
slot_policy::construct(alloc, slot, std::forward<Args>(args)...);
}
static void construct(Alloc *alloc, slot_type *slot, slot_type *other) {
slot_policy::construct(alloc, slot, other);
}
static void destroy(Alloc *alloc, slot_type *slot) {
slot_policy::destroy(alloc, slot);
}
static void transfer(Alloc *alloc, slot_type *new_slot, slot_type *old_slot) {
construct(alloc, new_slot, old_slot);
destroy(alloc, old_slot);
}
static void swap(Alloc *alloc, slot_type *a, slot_type *b) {
slot_policy::swap(alloc, a, b);
}
static void move(Alloc *alloc, slot_type *src, slot_type *dest) {
slot_policy::move(alloc, src, dest);
}
static void move(Alloc *alloc, slot_type *first, slot_type *last,
slot_type *result) {
slot_policy::move(alloc, first, last, result);
}
};
// A parameters structure for holding the type parameters for a btree_map.
// Compare and Alloc should be nothrow copy-constructible.
template <typename Key, typename Data, typename Compare, typename Alloc,
int TargetNodeSize, bool Multi>
struct map_params : common_params<Key, Compare, Alloc, TargetNodeSize, Multi,
map_slot_policy<Key, Data>> {
using super_type = typename map_params::common_params;
using mapped_type = Data;
// This type allows us to move keys when it is safe to do so. It is safe
// for maps in which value_type and mutable_value_type are layout compatible.
using slot_policy = typename super_type::slot_policy;
using slot_type = typename super_type::slot_type;
using value_type = typename super_type::value_type;
using init_type = typename super_type::init_type;
using key_compare = typename super_type::key_compare;
// Inherit from key_compare for empty base class optimization.
struct value_compare : private key_compare {
value_compare() = default;
explicit value_compare(const key_compare &cmp) : key_compare(cmp) {}
template <typename T, typename U>
auto operator()(const T &left, const U &right) const
-> decltype(std::declval<key_compare>()(left.first, right.first)) {
return key_compare::operator()(left.first, right.first);
}
};
using is_map_container = std::true_type;
static const Key &key(const value_type &x) { return x.first; }
static const Key &key(const init_type &x) { return x.first; }
static const Key &key(const slot_type *x) { return slot_policy::key(x); }
static mapped_type &value(value_type *value) { return value->second; }
};
// This type implements the necessary functions from the
// absl::container_internal::slot_type interface.
template <typename Key>
struct set_slot_policy {
using slot_type = Key;
using value_type = Key;
using mutable_value_type = Key;
static value_type &element(slot_type *slot) { return *slot; }
static const value_type &element(const slot_type *slot) { return *slot; }
template <typename Alloc, class... Args>
static void construct(Alloc *alloc, slot_type *slot, Args &&... args) {
absl::allocator_traits<Alloc>::construct(*alloc, slot,
std::forward<Args>(args)...);
}
template <typename Alloc>
static void construct(Alloc *alloc, slot_type *slot, slot_type *other) {
absl::allocator_traits<Alloc>::construct(*alloc, slot, std::move(*other));
}
template <typename Alloc>
static void destroy(Alloc *alloc, slot_type *slot) {
absl::allocator_traits<Alloc>::destroy(*alloc, slot);
}
template <typename Alloc>
static void swap(Alloc * /*alloc*/, slot_type *a, slot_type *b) {
using std::swap;
swap(*a, *b);
}
template <typename Alloc>
static void move(Alloc * /*alloc*/, slot_type *src, slot_type *dest) {
*dest = std::move(*src);
}
template <typename Alloc>
static void move(Alloc *alloc, slot_type *first, slot_type *last,
slot_type *result) {
for (slot_type *src = first, *dest = result; src != last; ++src, ++dest)
move(alloc, src, dest);
}
};
// A parameters structure for holding the type parameters for a btree_set.
// Compare and Alloc should be nothrow copy-constructible.
template <typename Key, typename Compare, typename Alloc, int TargetNodeSize,
bool Multi>
struct set_params : common_params<Key, Compare, Alloc, TargetNodeSize, Multi,
set_slot_policy<Key>> {
using value_type = Key;
using slot_type = typename set_params::common_params::slot_type;
using value_compare = typename set_params::common_params::key_compare;
using is_map_container = std::false_type;
static const Key &key(const value_type &x) { return x; }
static const Key &key(const slot_type *x) { return *x; }
};
// An adapter class that converts a lower-bound compare into an upper-bound
// compare. Note: there is no need to make a version of this adapter specialized
// for key-compare-to functors because the upper-bound (the first value greater
// than the input) is never an exact match.
template <typename Compare>
struct upper_bound_adapter {
explicit upper_bound_adapter(const Compare &c) : comp(c) {}
template <typename K, typename LK>
bool operator()(const K &a, const LK &b) const {
// Returns true when a is not greater than b.
return !compare_internal::compare_result_as_less_than(comp(b, a));
}
private:
Compare comp;
};
enum class MatchKind : uint8_t { kEq, kNe };
template <typename V, bool IsCompareTo>
struct SearchResult {
V value;
MatchKind match;
static constexpr bool HasMatch() { return true; }
bool IsEq() const { return match == MatchKind::kEq; }
};
// When we don't use CompareTo, `match` is not present.
// This ensures that callers can't use it accidentally when it provides no
// useful information.
template <typename V>
struct SearchResult<V, false> {
V value;
static constexpr bool HasMatch() { return false; }
static constexpr bool IsEq() { return false; }
};
// A node in the btree holding. The same node type is used for both internal
// and leaf nodes in the btree, though the nodes are allocated in such a way
// that the children array is only valid in internal nodes.
template <typename Params>
class btree_node {
using is_key_compare_to = typename Params::is_key_compare_to;
using is_multi_container = typename Params::is_multi_container;
using field_type = typename Params::node_count_type;
using allocator_type = typename Params::allocator_type;
using slot_type = typename Params::slot_type;
public:
using params_type = Params;
using key_type = typename Params::key_type;
using value_type = typename Params::value_type;
using pointer = typename Params::pointer;
using const_pointer = typename Params::const_pointer;
using reference = typename Params::reference;
using const_reference = typename Params::const_reference;
using key_compare = typename Params::key_compare;
using size_type = typename Params::size_type;
using difference_type = typename Params::difference_type;
// Btree decides whether to use linear node search as follows:
// - If the key is arithmetic and the comparator is std::less or
// std::greater, choose linear.
// - Otherwise, choose binary.
// TODO(ezb): Might make sense to add condition(s) based on node-size.
using use_linear_search = std::integral_constant<
bool,
std::is_arithmetic<key_type>::value &&
(std::is_same<std::less<key_type>, key_compare>::value ||
std::is_same<std::greater<key_type>, key_compare>::value)>;
// This class is organized by gtl::Layout as if it had the following
// structure:
// // A pointer to the node's parent.
// btree_node *parent;
//
// // The position of the node in the node's parent.
// field_type position;
// // The index of the first populated value in `values`.
// // TODO(ezb): right now, `start` is always 0. Update insertion/merge
// // logic to allow for floating storage within nodes.
// field_type start;
// // The count of the number of populated values in the node.
// field_type count;
// // The maximum number of values the node can hold. This is an integer in
// // [1, kNodeValues] for root leaf nodes, kNodeValues for non-root leaf
// // nodes, and kInternalNodeMaxCount (as a sentinel value) for internal
// // nodes (even though there are still kNodeValues values in the node).
// // TODO(ezb): make max_count use only 4 bits and record log2(capacity)
// // to free extra bits for is_root, etc.
// field_type max_count;
//
// // The array of values. The capacity is `max_count` for leaf nodes and
// // kNodeValues for internal nodes. Only the values in
// // [start, start + count) have been initialized and are valid.
// slot_type values[max_count];
//
// // The array of child pointers. The keys in children[i] are all less
// // than key(i). The keys in children[i + 1] are all greater than key(i).
// // There are 0 children for leaf nodes and kNodeValues + 1 children for
// // internal nodes.
// btree_node *children[kNodeValues + 1];
//
// This class is only constructed by EmptyNodeType. Normally, pointers to the
// layout above are allocated, cast to btree_node*, and de-allocated within
// the btree implementation.
~btree_node() = default;
btree_node(btree_node const &) = delete;
btree_node &operator=(btree_node const &) = delete;
// Public for EmptyNodeType.
constexpr static size_type Alignment() {
static_assert(LeafLayout(1).Alignment() == InternalLayout().Alignment(),
"Alignment of all nodes must be equal.");
return InternalLayout().Alignment();
}
protected:
btree_node() = default;
private:
using layout_type = absl::container_internal::Layout<btree_node *, field_type,
slot_type, btree_node *>;
constexpr static size_type SizeWithNValues(size_type n) {
return layout_type(/*parent*/ 1,
/*position, start, count, max_count*/ 4,
/*values*/ n,
/*children*/ 0)
.AllocSize();
}
// A lower bound for the overhead of fields other than values in a leaf node.
constexpr static size_type MinimumOverhead() {
return SizeWithNValues(1) - sizeof(value_type);
}
// Compute how many values we can fit onto a leaf node taking into account
// padding.
constexpr static size_type NodeTargetValues(const int begin, const int end) {
return begin == end ? begin
: SizeWithNValues((begin + end) / 2 + 1) >
params_type::kTargetNodeSize
? NodeTargetValues(begin, (begin + end) / 2)
: NodeTargetValues((begin + end) / 2 + 1, end);
}
enum {
kTargetNodeSize = params_type::kTargetNodeSize,
kNodeTargetValues = NodeTargetValues(0, params_type::kTargetNodeSize),
// We need a minimum of 3 values per internal node in order to perform
// splitting (1 value for the two nodes involved in the split and 1 value
// propagated to the parent as the delimiter for the split).
kNodeValues = kNodeTargetValues >= 3 ? kNodeTargetValues : 3,
// The node is internal (i.e. is not a leaf node) if and only if `max_count`
// has this value.
kInternalNodeMaxCount = 0,
};
// Leaves can have less than kNodeValues values.
constexpr static layout_type LeafLayout(const int max_values = kNodeValues) {
return layout_type(/*parent*/ 1,
/*position, start, count, max_count*/ 4,
/*values*/ max_values,
/*children*/ 0);
}
constexpr static layout_type InternalLayout() {
return layout_type(/*parent*/ 1,
/*position, start, count, max_count*/ 4,
/*values*/ kNodeValues,
/*children*/ kNodeValues + 1);
}
constexpr static size_type LeafSize(const int max_values = kNodeValues) {
return LeafLayout(max_values).AllocSize();
}
constexpr static size_type InternalSize() {
return InternalLayout().AllocSize();
}
// N is the index of the type in the Layout definition.
// ElementType<N> is the Nth type in the Layout definition.
template <size_type N>
inline typename layout_type::template ElementType<N> *GetField() {
// We assert that we don't read from values that aren't there.
assert(N < 3 || !leaf());
return InternalLayout().template Pointer<N>(reinterpret_cast<char *>(this));
}
template <size_type N>
inline const typename layout_type::template ElementType<N> *GetField() const {
assert(N < 3 || !leaf());
return InternalLayout().template Pointer<N>(
reinterpret_cast<const char *>(this));
}
void set_parent(btree_node *p) { *GetField<0>() = p; }
field_type &mutable_count() { return GetField<1>()[2]; }
slot_type *slot(int i) { return &GetField<2>()[i]; }
const slot_type *slot(int i) const { return &GetField<2>()[i]; }
void set_position(field_type v) { GetField<1>()[0] = v; }
void set_start(field_type v) { GetField<1>()[1] = v; }
void set_count(field_type v) { GetField<1>()[2] = v; }
// This method is only called by the node init methods.
void set_max_count(field_type v) { GetField<1>()[3] = v; }
public:
// Whether this is a leaf node or not. This value doesn't change after the
// node is created.
bool leaf() const { return GetField<1>()[3] != kInternalNodeMaxCount; }
// Getter for the position of this node in its parent.
field_type position() const { return GetField<1>()[0]; }
// Getter for the offset of the first value in the `values` array.
field_type start() const { return GetField<1>()[1]; }
// Getters for the number of values stored in this node.
field_type count() const { return GetField<1>()[2]; }
field_type max_count() const {
// Internal nodes have max_count==kInternalNodeMaxCount.
// Leaf nodes have max_count in [1, kNodeValues].
const field_type max_count = GetField<1>()[3];
return max_count == field_type{kInternalNodeMaxCount}
? field_type{kNodeValues}
: max_count;
}
// Getter for the parent of this node.
btree_node *parent() const { return *GetField<0>(); }
// Getter for whether the node is the root of the tree. The parent of the
// root of the tree is the leftmost node in the tree which is guaranteed to
// be a leaf.
bool is_root() const { return parent()->leaf(); }
void make_root() {
assert(parent()->is_root());
set_parent(parent()->parent());
}
// Getters for the key/value at position i in the node.
const key_type &key(int i) const { return params_type::key(slot(i)); }
reference value(int i) { return params_type::element(slot(i)); }
const_reference value(int i) const { return params_type::element(slot(i)); }
// Getters/setter for the child at position i in the node.
btree_node *child(int i) const { return GetField<3>()[i]; }
btree_node *&mutable_child(int i) { return GetField<3>()[i]; }
void clear_child(int i) {
absl::container_internal::SanitizerPoisonObject(&mutable_child(i));
}
void set_child(int i, btree_node *c) {
absl::container_internal::SanitizerUnpoisonObject(&mutable_child(i));
mutable_child(i) = c;
c->set_position(i);
}
void init_child(int i, btree_node *c) {
set_child(i, c);
c->set_parent(this);
}
// Returns the position of the first value whose key is not less than k.
template <typename K>
SearchResult<int, is_key_compare_to::value> lower_bound(
const K &k, const key_compare &comp) const {
return use_linear_search::value ? linear_search(k, comp)
: binary_search(k, comp);
}
// Returns the position of the first value whose key is greater than k.
template <typename K>
int upper_bound(const K &k, const key_compare &comp) const {
auto upper_compare = upper_bound_adapter<key_compare>(comp);
return use_linear_search::value ? linear_search(k, upper_compare).value
: binary_search(k, upper_compare).value;
}
template <typename K, typename Compare>
SearchResult<int, btree_is_key_compare_to<Compare, key_type>::value>
linear_search(const K &k, const Compare &comp) const {
return linear_search_impl(k, 0, count(), comp,
btree_is_key_compare_to<Compare, key_type>());
}
template <typename K, typename Compare>
SearchResult<int, btree_is_key_compare_to<Compare, key_type>::value>
binary_search(const K &k, const Compare &comp) const {
return binary_search_impl(k, 0, count(), comp,
btree_is_key_compare_to<Compare, key_type>());
}
// Returns the position of the first value whose key is not less than k using
// linear search performed using plain compare.
template <typename K, typename Compare>
SearchResult<int, false> linear_search_impl(
const K &k, int s, const int e, const Compare &comp,
std::false_type /* IsCompareTo */) const {
while (s < e) {
if (!comp(key(s), k)) {
break;
}
++s;
}
return {s};
}
// Returns the position of the first value whose key is not less than k using
// linear search performed using compare-to.
template <typename K, typename Compare>
SearchResult<int, true> linear_search_impl(
const K &k, int s, const int e, const Compare &comp,
std::true_type /* IsCompareTo */) const {
while (s < e) {
const absl::weak_ordering c = comp(key(s), k);
if (c == 0) {
return {s, MatchKind::kEq};
} else if (c > 0) {
break;
}
++s;
}
return {s, MatchKind::kNe};
}
// Returns the position of the first value whose key is not less than k using
// binary search performed using plain compare.
template <typename K, typename Compare>
SearchResult<int, false> binary_search_impl(
const K &k, int s, int e, const Compare &comp,
std::false_type /* IsCompareTo */) const {
while (s != e) {
const int mid = (s + e) >> 1;
if (comp(key(mid), k)) {
s = mid + 1;
} else {
e = mid;
}
}
return {s};
}
// Returns the position of the first value whose key is not less than k using
// binary search performed using compare-to.
template <typename K, typename CompareTo>
SearchResult<int, true> binary_search_impl(
const K &k, int s, int e, const CompareTo &comp,
std::true_type /* IsCompareTo */) const {
if (is_multi_container::value) {
MatchKind exact_match = MatchKind::kNe;
while (s != e) {
const int mid = (s + e) >> 1;
const absl::weak_ordering c = comp(key(mid), k);
if (c < 0) {
s = mid + 1;
} else {
e = mid;
if (c == 0) {
// Need to return the first value whose key is not less than k,
// which requires continuing the binary search if this is a
// multi-container.
exact_match = MatchKind::kEq;
}
}
}
return {s, exact_match};
} else { // Not a multi-container.
while (s != e) {
const int mid = (s + e) >> 1;
const absl::weak_ordering c = comp(key(mid), k);
if (c < 0) {
s = mid + 1;
} else if (c > 0) {
e = mid;
} else {
return {mid, MatchKind::kEq};
}
}
return {s, MatchKind::kNe};
}
}
// Emplaces a value at position i, shifting all existing values and
// children at positions >= i to the right by 1.
template <typename... Args>
void emplace_value(size_type i, allocator_type *alloc, Args &&... args);
// Removes the value at position i, shifting all existing values and children
// at positions > i to the left by 1.
void remove_value(int i, allocator_type *alloc);
// Removes the values at positions [i, i + to_erase), shifting all values
// after that range to the left by to_erase. Does not change children at all.
void remove_values_ignore_children(int i, int to_erase,
allocator_type *alloc);
// Rebalances a node with its right sibling.
void rebalance_right_to_left(int to_move, btree_node *right,
allocator_type *alloc);
void rebalance_left_to_right(int to_move, btree_node *right,
allocator_type *alloc);
// Splits a node, moving a portion of the node's values to its right sibling.
void split(int insert_position, btree_node *dest, allocator_type *alloc);
// Merges a node with its right sibling, moving all of the values and the
// delimiting key in the parent node onto itself.
void merge(btree_node *sibling, allocator_type *alloc);
// Swap the contents of "this" and "src".
void swap(btree_node *src, allocator_type *alloc);
// Node allocation/deletion routines.
static btree_node *init_leaf(btree_node *n, btree_node *parent,
int max_count) {
n->set_parent(parent);
n->set_position(0);
n->set_start(0);
n->set_count(0);
n->set_max_count(max_count);
absl::container_internal::SanitizerPoisonMemoryRegion(
n->slot(0), max_count * sizeof(slot_type));
return n;
}
static btree_node *init_internal(btree_node *n, btree_node *parent) {
init_leaf(n, parent, kNodeValues);
// Set `max_count` to a sentinel value to indicate that this node is
// internal.
n->set_max_count(kInternalNodeMaxCount);
absl::container_internal::SanitizerPoisonMemoryRegion(
&n->mutable_child(0), (kNodeValues + 1) * sizeof(btree_node *));
return n;
}
void destroy(allocator_type *alloc) {
for (int i = 0; i < count(); ++i) {
value_destroy(i, alloc);
}
}
public:
// Exposed only for tests.
static bool testonly_uses_linear_node_search() {
return use_linear_search::value;
}
private:
template <typename... Args>
void value_init(const size_type i, allocator_type *alloc, Args &&... args) {
absl::container_internal::SanitizerUnpoisonObject(slot(i));
params_type::construct(alloc, slot(i), std::forward<Args>(args)...);
}
void value_destroy(const size_type i, allocator_type *alloc) {
params_type::destroy(alloc, slot(i));
absl::container_internal::SanitizerPoisonObject(slot(i));
}
// Move n values starting at value i in this node into the values starting at
// value j in node x.
void uninitialized_move_n(const size_type n, const size_type i,
const size_type j, btree_node *x,
allocator_type *alloc) {
absl::container_internal::SanitizerUnpoisonMemoryRegion(
x->slot(j), n * sizeof(slot_type));
for (slot_type *src = slot(i), *end = src + n, *dest = x->slot(j);
src != end; ++src, ++dest) {
params_type::construct(alloc, dest, src);
}
}
// Destroys a range of n values, starting at index i.
void value_destroy_n(const size_type i, const size_type n,
allocator_type *alloc) {
for (int j = 0; j < n; ++j) {
value_destroy(i + j, alloc);
}
}
template <typename P>
friend class btree;
template <typename N, typename R, typename P>
friend struct btree_iterator;
friend class BtreeNodePeer;
};
template <typename Node, typename Reference, typename Pointer>
struct btree_iterator {
private:
using key_type = typename Node::key_type;
using size_type = typename Node::size_type;
using params_type = typename Node::params_type;
using node_type = Node;
using normal_node = typename std::remove_const<Node>::type;
using const_node = const Node;
using normal_pointer = typename params_type::pointer;
using normal_reference = typename params_type::reference;
using const_pointer = typename params_type::const_pointer;
using const_reference = typename params_type::const_reference;
using slot_type = typename params_type::slot_type;
using iterator =
btree_iterator<normal_node, normal_reference, normal_pointer>;
using const_iterator =
btree_iterator<const_node, const_reference, const_pointer>;
public:
// These aliases are public for std::iterator_traits.
using difference_type = typename Node::difference_type;
using value_type = typename params_type::value_type;
using pointer = Pointer;
using reference = Reference;
using iterator_category = std::bidirectional_iterator_tag;
btree_iterator() : node(nullptr), position(-1) {}
btree_iterator(Node *n, int p) : node(n), position(p) {}
// NOTE: this SFINAE allows for implicit conversions from iterator to
// const_iterator, but it specifically avoids defining copy constructors so
// that btree_iterator can be trivially copyable. This is for performance and
// binary size reasons.
template <typename N, typename R, typename P,
absl::enable_if_t<
std::is_same<btree_iterator<N, R, P>, iterator>::value &&
std::is_same<btree_iterator, const_iterator>::value,
int> = 0>
btree_iterator(const btree_iterator<N, R, P> &x) // NOLINT
: node(x.node), position(x.position) {}
private:
// This SFINAE allows explicit conversions from const_iterator to
// iterator, but also avoids defining a copy constructor.
// NOTE: the const_cast is safe because this constructor is only called by
// non-const methods and the container owns the nodes.
template <typename N, typename R, typename P,
absl::enable_if_t<
std::is_same<btree_iterator<N, R, P>, const_iterator>::value &&
std::is_same<btree_iterator, iterator>::value,
int> = 0>
explicit btree_iterator(const btree_iterator<N, R, P> &x)
: node(const_cast<node_type *>(x.node)), position(x.position) {}
// Increment/decrement the iterator.
void increment() {
if (node->leaf() && ++position < node->count()) {
return;
}
increment_slow();
}
void increment_slow();
void decrement() {
if (node->leaf() && --position >= 0) {
return;
}
decrement_slow();
}
void decrement_slow();
public:
bool operator==(const const_iterator &x) const {
return node == x.node && position == x.position;
}
bool operator!=(const const_iterator &x) const {
return node != x.node || position != x.position;
}
// Accessors for the key/value the iterator is pointing at.
reference operator*() const {
return node->value(position);
}
pointer operator->() const {
return &node->value(position);
}
btree_iterator& operator++() {
increment();
return *this;
}
btree_iterator& operator--() {
decrement();
return *this;
}
btree_iterator operator++(int) {
btree_iterator tmp = *this;
++*this;
return tmp;
}
btree_iterator operator--(int) {
btree_iterator tmp = *this;
--*this;
return tmp;
}
private:
template <typename Params>
friend class btree;
template <typename Tree>
friend class btree_container;
template <typename Tree>
friend class btree_set_container;
template <typename Tree>
friend class btree_map_container;
template <typename Tree>
friend class btree_multiset_container;
template <typename N, typename R, typename P>
friend struct btree_iterator;
template <typename TreeType, typename CheckerType>
friend class base_checker;
const key_type &key() const { return node->key(position); }
slot_type *slot() { return node->slot(position); }
// The node in the tree the iterator is pointing at.
Node *node;
// The position within the node of the tree the iterator is pointing at.
// TODO(ezb): make this a field_type
int position;
};
template <typename Params>
class btree {
using node_type = btree_node<Params>;
using is_key_compare_to = typename Params::is_key_compare_to;
// We use a static empty node for the root/leftmost/rightmost of empty btrees
// in order to avoid branching in begin()/end().
struct alignas(node_type::Alignment()) EmptyNodeType : node_type {
using field_type = typename node_type::field_type;
node_type *parent;
field_type position = 0;
field_type start = 0;
field_type count = 0;
// max_count must be != kInternalNodeMaxCount (so that this node is regarded
// as a leaf node). max_count() is never called when the tree is empty.
field_type max_count = node_type::kInternalNodeMaxCount + 1;
#ifdef _MSC_VER
// MSVC has constexpr code generations bugs here.
EmptyNodeType() : parent(this) {}
#else
constexpr EmptyNodeType(node_type *p) : parent(p) {}
#endif
};
static node_type *EmptyNode() {
#ifdef _MSC_VER
static EmptyNodeType* empty_node = new EmptyNodeType;
// This assert fails on some other construction methods.
assert(empty_node->parent == empty_node);
return empty_node;
#else
static constexpr EmptyNodeType empty_node(
const_cast<EmptyNodeType *>(&empty_node));
return const_cast<EmptyNodeType *>(&empty_node);
#endif
}
enum {
kNodeValues = node_type::kNodeValues,
kMinNodeValues = kNodeValues / 2,
};
struct node_stats {
using size_type = typename Params::size_type;
node_stats(size_type l, size_type i)
: leaf_nodes(l),
internal_nodes(i) {
}
node_stats& operator+=(const node_stats &x) {
leaf_nodes += x.leaf_nodes;
internal_nodes += x.internal_nodes;
return *this;
}
size_type leaf_nodes;
size_type internal_nodes;
};
public:
using key_type = typename Params::key_type;
using value_type = typename Params::value_type;
using size_type = typename Params::size_type;
using difference_type = typename Params::difference_type;
using key_compare = typename Params::key_compare;
using value_compare = typename Params::value_compare;
using allocator_type = typename Params::allocator_type;
using reference = typename Params::reference;
using const_reference = typename Params::const_reference;
using pointer = typename Params::pointer;
using const_pointer = typename Params::const_pointer;
using iterator = btree_iterator<node_type, reference, pointer>;
using const_iterator = typename iterator::const_iterator;
using reverse_iterator = std::reverse_iterator<iterator>;
using const_reverse_iterator = std::reverse_iterator<const_iterator>;
using node_handle_type = node_handle<Params, Params, allocator_type>;
// Internal types made public for use by btree_container types.
using params_type = Params;
using slot_type = typename Params::slot_type;
private:
// For use in copy_or_move_values_in_order.
const value_type &maybe_move_from_iterator(const_iterator x) { return *x; }
value_type &&maybe_move_from_iterator(iterator x) { return std::move(*x); }
// Copies or moves (depending on the template parameter) the values in
// x into this btree in their order in x. This btree must be empty before this
// method is called. This method is used in copy construction, copy
// assignment, and move assignment.
template <typename Btree>
void copy_or_move_values_in_order(Btree *x);
// Validates that various assumptions/requirements are true at compile time.
constexpr static bool static_assert_validation();
public:
btree(const key_compare &comp, const allocator_type &alloc);
btree(const btree &x);
btree(btree &&x) noexcept
: root_(std::move(x.root_)),
rightmost_(absl::exchange(x.rightmost_, EmptyNode())),
size_(absl::exchange(x.size_, 0)) {
x.mutable_root() = EmptyNode();
}
~btree() {
// Put static_asserts in destructor to avoid triggering them before the type
// is complete.
static_assert(static_assert_validation(), "This call must be elided.");
clear();
}
// Assign the contents of x to *this.
btree &operator=(const btree &x);
btree &operator=(btree &&x) noexcept;
iterator begin() {
return iterator(leftmost(), 0);
}
const_iterator begin() const {
return const_iterator(leftmost(), 0);
}
iterator end() { return iterator(rightmost_, rightmost_->count()); }
const_iterator end() const {
return const_iterator(rightmost_, rightmost_->count());
}
reverse_iterator rbegin() {
return reverse_iterator(end());
}
const_reverse_iterator rbegin() const {
return const_reverse_iterator(end());
}
reverse_iterator rend() {
return reverse_iterator(begin());
}
const_reverse_iterator rend() const {
return const_reverse_iterator(begin());
}
// Finds the first element whose key is not less than key.
template <typename K>
iterator lower_bound(const K &key) {
return internal_end(internal_lower_bound(key));
}
template <typename K>
const_iterator lower_bound(const K &key) const {
return internal_end(internal_lower_bound(key));
}
// Finds the first element whose key is greater than key.
template <typename K>
iterator upper_bound(const K &key) {
return internal_end(internal_upper_bound(key));
}
template <typename K>
const_iterator upper_bound(const K &key) const {
return internal_end(internal_upper_bound(key));
}
// Finds the range of values which compare equal to key. The first member of
// the returned pair is equal to lower_bound(key). The second member pair of
// the pair is equal to upper_bound(key).
template <typename K>
std::pair<iterator, iterator> equal_range(const K &key) {
return {lower_bound(key), upper_bound(key)};
}
template <typename K>
std::pair<const_iterator, const_iterator> equal_range(const K &key) const {
return {lower_bound(key), upper_bound(key)};
}
// Inserts a value into the btree only if it does not already exist. The
// boolean return value indicates whether insertion succeeded or failed.
// Requirement: if `key` already exists in the btree, does not consume `args`.
// Requirement: `key` is never referenced after consuming `args`.
template <typename... Args>
std::pair<iterator, bool> insert_unique(const key_type &key, Args &&... args);
// Inserts with hint. Checks to see if the value should be placed immediately
// before `position` in the tree. If so, then the insertion will take
// amortized constant time. If not, the insertion will take amortized
// logarithmic time as if a call to insert_unique() were made.
// Requirement: if `key` already exists in the btree, does not consume `args`.
// Requirement: `key` is never referenced after consuming `args`.
template <typename... Args>
std::pair<iterator, bool> insert_hint_unique(iterator position,
const key_type &key,
Args &&... args);
// Insert a range of values into the btree.
template <typename InputIterator>
void insert_iterator_unique(InputIterator b, InputIterator e);
// Inserts a value into the btree.
template <typename ValueType>
iterator insert_multi(const key_type &key, ValueType &&v);
// Inserts a value into the btree.
template <typename ValueType>
iterator insert_multi(ValueType &&v) {
return insert_multi(params_type::key(v), std::forward<ValueType>(v));
}
// Insert with hint. Check to see if the value should be placed immediately
// before position in the tree. If it does, then the insertion will take
// amortized constant time. If not, the insertion will take amortized
// logarithmic time as if a call to insert_multi(v) were made.
template <typename ValueType>
iterator insert_hint_multi(iterator position, ValueType &&v);
// Insert a range of values into the btree.
template <typename InputIterator>
void insert_iterator_multi(InputIterator b, InputIterator e);
// Erase the specified iterator from the btree. The iterator must be valid
// (i.e. not equal to end()). Return an iterator pointing to the node after
// the one that was erased (or end() if none exists).
// Requirement: does not read the value at `*iter`.
iterator erase(iterator iter);
// Erases range. Returns the number of keys erased and an iterator pointing
// to the element after the last erased element.
std::pair<size_type, iterator> erase(iterator begin, iterator end);
// Erases the specified key from the btree. Returns 1 if an element was
// erased and 0 otherwise.
template <typename K>
size_type erase_unique(const K &key);
// Erases all of the entries matching the specified key from the
// btree. Returns the number of elements erased.
template <typename K>
size_type erase_multi(const K &key);
// Finds the iterator corresponding to a key or returns end() if the key is
// not present.
template <typename K>
iterator find(const K &key) {
return internal_end(internal_find(key));
}
template <typename K>
const_iterator find(const K &key) const {
return internal_end(internal_find(key));
}
// Returns a count of the number of times the key appears in the btree.
template <typename K>
size_type count_unique(const K &key) const {
const iterator begin = internal_find(key);
if (begin.node == nullptr) {
// The key doesn't exist in the tree.
return 0;
}
return 1;
}
// Returns a count of the number of times the key appears in the btree.
template <typename K>
size_type count_multi(const K &key) const {
const auto range = equal_range(key);
return std::distance(range.first, range.second);
}
// Clear the btree, deleting all of the values it contains.
void clear();
// Swap the contents of *this and x.
void swap(btree &x);
const key_compare &key_comp() const noexcept {
return root_.template get<0>();
}
template <typename K, typename LK>
bool compare_keys(const K &x, const LK &y) const {
return compare_internal::compare_result_as_less_than(key_comp()(x, y));
}
value_compare value_comp() const { return value_compare(key_comp()); }
// Verifies the structure of the btree.
void verify() const;
// Size routines.
size_type size() const { return size_; }
size_type max_size() const { return (std::numeric_limits<size_type>::max)(); }
bool empty() const { return size_ == 0; }
// The height of the btree. An empty tree will have height 0.
size_type height() const {
size_type h = 0;
if (root()) {
// Count the length of the chain from the leftmost node up to the
// root. We actually count from the root back around to the level below
// the root, but the calculation is the same because of the circularity
// of that traversal.
const node_type *n = root();
do {
++h;
n = n->parent();
} while (n != root());
}
return h;
}
// The number of internal, leaf and total nodes used by the btree.
size_type leaf_nodes() const {
return internal_stats(root()).leaf_nodes;
}
size_type internal_nodes() const {
return internal_stats(root()).internal_nodes;
}
size_type nodes() const {
node_stats stats = internal_stats(root());
return stats.leaf_nodes + stats.internal_nodes;
}
// The total number of bytes used by the btree.
size_type bytes_used() const {
node_stats stats = internal_stats(root());
if (stats.leaf_nodes == 1 && stats.internal_nodes == 0) {
return sizeof(*this) +
node_type::LeafSize(root()->max_count());
} else {
return sizeof(*this) +
stats.leaf_nodes * node_type::LeafSize() +
stats.internal_nodes * node_type::InternalSize();
}
}
// The average number of bytes used per value stored in the btree.
static double average_bytes_per_value() {
// Returns the number of bytes per value on a leaf node that is 75%
// full. Experimentally, this matches up nicely with the computed number of
// bytes per value in trees that had their values inserted in random order.
return node_type::LeafSize() / (kNodeValues * 0.75);
}
// The fullness of the btree. Computed as the number of elements in the btree
// divided by the maximum number of elements a tree with the current number
// of nodes could hold. A value of 1 indicates perfect space
// utilization. Smaller values indicate space wastage.
double fullness() const {
return static_cast<double>(size()) / (nodes() * kNodeValues);
}
// The overhead of the btree structure in bytes per node. Computed as the
// total number of bytes used by the btree minus the number of bytes used for
// storing elements divided by the number of elements.
double overhead() const {
if (empty()) {
return 0.0;
}
return (bytes_used() - size() * sizeof(value_type)) /
static_cast<double>(size());
}
// The allocator used by the btree.
allocator_type get_allocator() const {
return allocator();
}
private:
// Internal accessor routines.
node_type *root() { return root_.template get<2>(); }
const node_type *root() const { return root_.template get<2>(); }
node_type *&mutable_root() noexcept { return root_.template get<2>(); }
key_compare *mutable_key_comp() noexcept { return &root_.template get<0>(); }
// The leftmost node is stored as the parent of the root node.
node_type *leftmost() { return root()->parent(); }
const node_type *leftmost() const { return root()->parent(); }
// Allocator routines.
allocator_type *mutable_allocator() noexcept {
return &root_.template get<1>();
}
const allocator_type &allocator() const noexcept {
return root_.template get<1>();
}
// Allocates a correctly aligned node of at least size bytes using the
// allocator.
node_type *allocate(const size_type size) {
return reinterpret_cast<node_type *>(
absl::container_internal::Allocate<node_type::Alignment()>(
mutable_allocator(), size));
}
// Node creation/deletion routines.
node_type* new_internal_node(node_type *parent) {
node_type *p = allocate(node_type::InternalSize());
return node_type::init_internal(p, parent);
}
node_type* new_leaf_node(node_type *parent) {
node_type *p = allocate(node_type::LeafSize());
return node_type::init_leaf(p, parent, kNodeValues);
}
node_type *new_leaf_root_node(const int max_count) {
node_type *p = allocate(node_type::LeafSize(max_count));
return node_type::init_leaf(p, p, max_count);
}
// Deletion helper routines.
void erase_same_node(iterator begin, iterator end);
iterator erase_from_leaf_node(iterator begin, size_type to_erase);
iterator rebalance_after_delete(iterator iter);
// Deallocates a node of a certain size in bytes using the allocator.
void deallocate(const size_type size, node_type *node) {
absl::container_internal::Deallocate<node_type::Alignment()>(
mutable_allocator(), node, size);
}
void delete_internal_node(node_type *node) {
node->destroy(mutable_allocator());
deallocate(node_type::InternalSize(), node);
}
void delete_leaf_node(node_type *node) {
node->destroy(mutable_allocator());
deallocate(node_type::LeafSize(node->max_count()), node);
}
// Rebalances or splits the node iter points to.
void rebalance_or_split(iterator *iter);
// Merges the values of left, right and the delimiting key on their parent
// onto left, removing the delimiting key and deleting right.
void merge_nodes(node_type *left, node_type *right);
// Tries to merge node with its left or right sibling, and failing that,
// rebalance with its left or right sibling. Returns true if a merge
// occurred, at which point it is no longer valid to access node. Returns
// false if no merging took place.
bool try_merge_or_rebalance(iterator *iter);
// Tries to shrink the height of the tree by 1.
void try_shrink();
iterator internal_end(iterator iter) {
return iter.node != nullptr ? iter : end();
}
const_iterator internal_end(const_iterator iter) const {
return iter.node != nullptr ? iter : end();
}
// Emplaces a value into the btree immediately before iter. Requires that
// key(v) <= iter.key() and (--iter).key() <= key(v).
template <typename... Args>
iterator internal_emplace(iterator iter, Args &&... args);
// Returns an iterator pointing to the first value >= the value "iter" is
// pointing at. Note that "iter" might be pointing to an invalid location as
// iter.position == iter.node->count(). This routine simply moves iter up in
// the tree to a valid location.
// Requires: iter.node is non-null.
template <typename IterType>
static IterType internal_last(IterType iter);
// Returns an iterator pointing to the leaf position at which key would
// reside in the tree. We provide 2 versions of internal_locate. The first
// version uses a less-than comparator and is incapable of distinguishing when
// there is an exact match. The second version is for the key-compare-to
// specialization and distinguishes exact matches. The key-compare-to
// specialization allows the caller to avoid a subsequent comparison to
// determine if an exact match was made, which is important for keys with
// expensive comparison, such as strings.
template <typename K>
SearchResult<iterator, is_key_compare_to::value> internal_locate(
const K &key) const;
template <typename K>
SearchResult<iterator, false> internal_locate_impl(
const K &key, std::false_type /* IsCompareTo */) const;
template <typename K>
SearchResult<iterator, true> internal_locate_impl(
const K &key, std::true_type /* IsCompareTo */) const;
// Internal routine which implements lower_bound().
template <typename K>
iterator internal_lower_bound(const K &key) const;
// Internal routine which implements upper_bound().
template <typename K>
iterator internal_upper_bound(const K &key) const;
// Internal routine which implements find().
template <typename K>
iterator internal_find(const K &key) const;
// Deletes a node and all of its children.
void internal_clear(node_type *node);
// Verifies the tree structure of node.
int internal_verify(const node_type *node,
const key_type *lo, const key_type *hi) const;
node_stats internal_stats(const node_type *node) const {
// The root can be a static empty node.
if (node == nullptr || (node == root() && empty())) {
return node_stats(0, 0);
}
if (node->leaf()) {
return node_stats(1, 0);
}
node_stats res(0, 1);
for (int i = 0; i <= node->count(); ++i) {
res += internal_stats(node->child(i));
}
return res;
}
public:
// Exposed only for tests.
static bool testonly_uses_linear_node_search() {
return node_type::testonly_uses_linear_node_search();
}
private:
// We use compressed tuple in order to save space because key_compare and
// allocator_type are usually empty.
absl::container_internal::CompressedTuple<key_compare, allocator_type,
node_type *>
root_;
// A pointer to the rightmost node. Note that the leftmost node is stored as
// the root's parent.
node_type *rightmost_;
// Number of values.
size_type size_;
};
////
// btree_node methods
template <typename P>
template <typename... Args>
inline void btree_node<P>::emplace_value(const size_type i,
allocator_type *alloc,
Args &&... args) {
assert(i <= count());
// Shift old values to create space for new value and then construct it in
// place.
if (i < count()) {
value_init(count(), alloc, slot(count() - 1));
for (size_type j = count() - 1; j > i; --j)
params_type::move(alloc, slot(j - 1), slot(j));
value_destroy(i, alloc);
}
value_init(i, alloc, std::forward<Args>(args)...);
set_count(count() + 1);
if (!leaf() && count() > i + 1) {
for (int j = count(); j > i + 1; --j) {
set_child(j, child(j - 1));
}
clear_child(i + 1);
}
}
template <typename P>
inline void btree_node<P>::remove_value(const int i, allocator_type *alloc) {
if (!leaf() && count() > i + 1) {
assert(child(i + 1)->count() == 0);
for (size_type j = i + 1; j < count(); ++j) {
set_child(j, child(j + 1));
}
clear_child(count());
}
remove_values_ignore_children(i, /*to_erase=*/1, alloc);
}
template <typename P>
inline void btree_node<P>::remove_values_ignore_children(
const int i, const int to_erase, allocator_type *alloc) {
params_type::move(alloc, slot(i + to_erase), slot(count()), slot(i));
value_destroy_n(count() - to_erase, to_erase, alloc);
set_count(count() - to_erase);
}
template <typename P>
void btree_node<P>::rebalance_right_to_left(const int to_move,
btree_node *right,
allocator_type *alloc) {
assert(parent() == right->parent());
assert(position() + 1 == right->position());
assert(right->count() >= count());
assert(to_move >= 1);
assert(to_move <= right->count());
// 1) Move the delimiting value in the parent to the left node.
value_init(count(), alloc, parent()->slot(position()));
// 2) Move the (to_move - 1) values from the right node to the left node.
right->uninitialized_move_n(to_move - 1, 0, count() + 1, this, alloc);
// 3) Move the new delimiting value to the parent from the right node.
params_type::move(alloc, right->slot(to_move - 1),
parent()->slot(position()));
// 4) Shift the values in the right node to their correct position.
params_type::move(alloc, right->slot(to_move), right->slot(right->count()),
right->slot(0));
// 5) Destroy the now-empty to_move entries in the right node.
right->value_destroy_n(right->count() - to_move, to_move, alloc);
if (!leaf()) {
// Move the child pointers from the right to the left node.
for (int i = 0; i < to_move; ++i) {
init_child(count() + i + 1, right->child(i));
}
for (int i = 0; i <= right->count() - to_move; ++i) {
assert(i + to_move <= right->max_count());
right->init_child(i, right->child(i + to_move));
right->clear_child(i + to_move);
}
}
// Fixup the counts on the left and right nodes.
set_count(count() + to_move);
right->set_count(right->count() - to_move);
}
template <typename P>
void btree_node<P>::rebalance_left_to_right(const int to_move,
btree_node *right,
allocator_type *alloc) {
assert(parent() == right->parent());
assert(position() + 1 == right->position());
assert(count() >= right->count());
assert(to_move >= 1);
assert(to_move <= count());
// Values in the right node are shifted to the right to make room for the
// new to_move values. Then, the delimiting value in the parent and the
// other (to_move - 1) values in the left node are moved into the right node.
// Lastly, a new delimiting value is moved from the left node into the
// parent, and the remaining empty left node entries are destroyed.
if (right->count() >= to_move) {
// The original location of the right->count() values are sufficient to hold
// the new to_move entries from the parent and left node.
// 1) Shift existing values in the right node to their correct positions.
right->uninitialized_move_n(to_move, right->count() - to_move,
right->count(), right, alloc);
for (slot_type *src = right->slot(right->count() - to_move - 1),
*dest = right->slot(right->count() - 1),
*end = right->slot(0);
src >= end; --src, --dest) {
params_type::move(alloc, src, dest);
}
// 2) Move the delimiting value in the parent to the right node.
params_type::move(alloc, parent()->slot(position()),
right->slot(to_move - 1));
// 3) Move the (to_move - 1) values from the left node to the right node.
params_type::move(alloc, slot(count() - (to_move - 1)), slot(count()),
right->slot(0));
} else {
// The right node does not have enough initialized space to hold the new
// to_move entries, so part of them will move to uninitialized space.
// 1) Shift existing values in the right node to their correct positions.
right->uninitialized_move_n(right->count(), 0, to_move, right, alloc);
// 2) Move the delimiting value in the parent to the right node.
right->value_init(to_move - 1, alloc, parent()->slot(position()));
// 3) Move the (to_move - 1) values from the left node to the right node.
const size_type uninitialized_remaining = to_move - right->count() - 1;
uninitialized_move_n(uninitialized_remaining,
count() - uninitialized_remaining, right->count(),
right, alloc);
params_type::move(alloc, slot(count() - (to_move - 1)),
slot(count() - uninitialized_remaining), right->slot(0));
}
// 4) Move the new delimiting value to the parent from the left node.
params_type::move(alloc, slot(count() - to_move), parent()->slot(position()));
// 5) Destroy the now-empty to_move entries in the left node.
value_destroy_n(count() - to_move, to_move, alloc);
if (!leaf()) {
// Move the child pointers from the left to the right node.
for (int i = right->count(); i >= 0; --i) {
right->init_child(i + to_move, right->child(i));
right->clear_child(i);
}
for (int i = 1; i <= to_move; ++i) {
right->init_child(i - 1, child(count() - to_move + i));
clear_child(count() - to_move + i);
}
}
// Fixup the counts on the left and right nodes.
set_count(count() - to_move);
right->set_count(right->count() + to_move);
}
template <typename P>
void btree_node<P>::split(const int insert_position, btree_node *dest,
allocator_type *alloc) {
assert(dest->count() == 0);
assert(max_count() == kNodeValues);
// We bias the split based on the position being inserted. If we're
// inserting at the beginning of the left node then bias the split to put
// more values on the right node. If we're inserting at the end of the
// right node then bias the split to put more values on the left node.
if (insert_position == 0) {
dest->set_count(count() - 1);
} else if (insert_position == kNodeValues) {
dest->set_count(0);
} else {
dest->set_count(count() / 2);
}
set_count(count() - dest->count());
assert(count() >= 1);
// Move values from the left sibling to the right sibling.
uninitialized_move_n(dest->count(), count(), 0, dest, alloc);
// Destroy the now-empty entries in the left node.
value_destroy_n(count(), dest->count(), alloc);
// The split key is the largest value in the left sibling.
set_count(count() - 1);
parent()->emplace_value(position(), alloc, slot(count()));
value_destroy(count(), alloc);
parent()->init_child(position() + 1, dest);
if (!leaf()) {
for (int i = 0; i <= dest->count(); ++i) {
assert(child(count() + i + 1) != nullptr);
dest->init_child(i, child(count() + i + 1));
clear_child(count() + i + 1);
}
}
}
template <typename P>
void btree_node<P>::merge(btree_node *src, allocator_type *alloc) {
assert(parent() == src->parent());
assert(position() + 1 == src->position());
// Move the delimiting value to the left node.
value_init(count(), alloc, parent()->slot(position()));
// Move the values from the right to the left node.
src->uninitialized_move_n(src->count(), 0, count() + 1, this, alloc);
// Destroy the now-empty entries in the right node.
src->value_destroy_n(0, src->count(), alloc);
if (!leaf()) {
// Move the child pointers from the right to the left node.
for (int i = 0; i <= src->count(); ++i) {
init_child(count() + i + 1, src->child(i));
src->clear_child(i);
}
}
// Fixup the counts on the src and dest nodes.
set_count(1 + count() + src->count());
src->set_count(0);
// Remove the value on the parent node.
parent()->remove_value(position(), alloc);
}
template <typename P>
void btree_node<P>::swap(btree_node *x, allocator_type *alloc) {
using std::swap;
assert(leaf() == x->leaf());
// Determine which is the smaller/larger node.
btree_node *smaller = this, *larger = x;
if (smaller->count() > larger->count()) {
swap(smaller, larger);
}
// Swap the values.
for (slot_type *a = smaller->slot(0), *b = larger->slot(0),
*end = a + smaller->count();
a != end; ++a, ++b) {
params_type::swap(alloc, a, b);
}
// Move values that can't be swapped.
const size_type to_move = larger->count() - smaller->count();
larger->uninitialized_move_n(to_move, smaller->count(), smaller->count(),
smaller, alloc);
larger->value_destroy_n(smaller->count(), to_move, alloc);
if (!leaf()) {
// Swap the child pointers.
std::swap_ranges(&smaller->mutable_child(0),
&smaller->mutable_child(smaller->count() + 1),
&larger->mutable_child(0));
// Update swapped children's parent pointers.
int i = 0;
for (; i <= smaller->count(); ++i) {
smaller->child(i)->set_parent(smaller);
larger->child(i)->set_parent(larger);
}
// Move the child pointers that couldn't be swapped.
for (; i <= larger->count(); ++i) {
smaller->init_child(i, larger->child(i));
larger->clear_child(i);
}
}
// Swap the counts.
swap(mutable_count(), x->mutable_count());
}
////
// btree_iterator methods
template <typename N, typename R, typename P>
void btree_iterator<N, R, P>::increment_slow() {
if (node->leaf()) {
assert(position >= node->count());
btree_iterator save(*this);
while (position == node->count() && !node->is_root()) {
assert(node->parent()->child(node->position()) == node);
position = node->position();
node = node->parent();
}
if (position == node->count()) {
*this = save;
}
} else {
assert(position < node->count());
node = node->child(position + 1);
while (!node->leaf()) {
node = node->child(0);
}
position = 0;
}
}
template <typename N, typename R, typename P>
void btree_iterator<N, R, P>::decrement_slow() {
if (node->leaf()) {
assert(position <= -1);
btree_iterator save(*this);
while (position < 0 && !node->is_root()) {
assert(node->parent()->child(node->position()) == node);
position = node->position() - 1;
node = node->parent();
}
if (position < 0) {
*this = save;
}
} else {
assert(position >= 0);
node = node->child(position);
while (!node->leaf()) {
node = node->child(node->count());
}
position = node->count() - 1;
}
}
////
// btree methods
template <typename P>
template <typename Btree>
void btree<P>::copy_or_move_values_in_order(Btree *x) {
static_assert(std::is_same<btree, Btree>::value ||
std::is_same<const btree, Btree>::value,
"Btree type must be same or const.");
assert(empty());
// We can avoid key comparisons because we know the order of the
// values is the same order we'll store them in.
auto iter = x->begin();
if (iter == x->end()) return;
insert_multi(maybe_move_from_iterator(iter));
++iter;
for (; iter != x->end(); ++iter) {
// If the btree is not empty, we can just insert the new value at the end
// of the tree.
internal_emplace(end(), maybe_move_from_iterator(iter));
}
}
template <typename P>
constexpr bool btree<P>::static_assert_validation() {
static_assert(std::is_nothrow_copy_constructible<key_compare>::value,
"Key comparison must be nothrow copy constructible");
static_assert(std::is_nothrow_copy_constructible<allocator_type>::value,
"Allocator must be nothrow copy constructible");
static_assert(type_traits_internal::is_trivially_copyable<iterator>::value,
"iterator not trivially copyable.");
// Note: We assert that kTargetValues, which is computed from
// Params::kTargetNodeSize, must fit the node_type::field_type.
static_assert(
kNodeValues < (1 << (8 * sizeof(typename node_type::field_type))),
"target node size too large");
// Verify that key_compare returns an absl::{weak,strong}_ordering or bool.
using compare_result_type =
absl::result_of_t<key_compare(key_type, key_type)>;
static_assert(
std::is_same<compare_result_type, bool>::value ||
std::is_convertible<compare_result_type, absl::weak_ordering>::value,
"key comparison function must return absl::{weak,strong}_ordering or "
"bool.");
// Test the assumption made in setting kNodeValueSpace.
static_assert(node_type::MinimumOverhead() >= sizeof(void *) + 4,
"node space assumption incorrect");
return true;
}
template <typename P>
btree<P>::btree(const key_compare &comp, const allocator_type &alloc)
: root_(comp, alloc, EmptyNode()), rightmost_(EmptyNode()), size_(0) {}
template <typename P>
btree<P>::btree(const btree &x) : btree(x.key_comp(), x.allocator()) {
copy_or_move_values_in_order(&x);
}
template <typename P>
template <typename... Args>
auto btree<P>::insert_unique(const key_type &key, Args &&... args)
-> std::pair<iterator, bool> {
if (empty()) {
mutable_root() = rightmost_ = new_leaf_root_node(1);
}
auto res = internal_locate(key);
iterator &iter = res.value;
if (res.HasMatch()) {
if (res.IsEq()) {
// The key already exists in the tree, do nothing.
return {iter, false};
}
} else {
iterator last = internal_last(iter);
if (last.node && !compare_keys(key, last.key())) {
// The key already exists in the tree, do nothing.
return {last, false};
}
}
return {internal_emplace(iter, std::forward<Args>(args)...), true};
}
template <typename P>
template <typename... Args>
inline auto btree<P>::insert_hint_unique(iterator position, const key_type &key,
Args &&... args)
-> std::pair<iterator, bool> {
if (!empty()) {
if (position == end() || compare_keys(key, position.key())) {
iterator prev = position;
if (position == begin() || compare_keys((--prev).key(), key)) {
// prev.key() < key < position.key()
return {internal_emplace(position, std::forward<Args>(args)...), true};
}
} else if (compare_keys(position.key(), key)) {
++position;
if (position == end() || compare_keys(key, position.key())) {
// {original `position`}.key() < key < {current `position`}.key()
return {internal_emplace(position, std::forward<Args>(args)...), true};
}
} else {
// position.key() == key
return {position, false};
}
}
return insert_unique(key, std::forward<Args>(args)...);
}
template <typename P>
template <typename InputIterator>
void btree<P>::insert_iterator_unique(InputIterator b, InputIterator e) {
for (; b != e; ++b) {
insert_hint_unique(end(), params_type::key(*b), *b);
}
}
template <typename P>
template <typename ValueType>
auto btree<P>::insert_multi(const key_type &key, ValueType &&v) -> iterator {
if (empty()) {
mutable_root() = rightmost_ = new_leaf_root_node(1);
}
iterator iter = internal_upper_bound(key);
if (iter.node == nullptr) {
iter = end();
}
return internal_emplace(iter, std::forward<ValueType>(v));
}
template <typename P>
template <typename ValueType>
auto btree<P>::insert_hint_multi(iterator position, ValueType &&v) -> iterator {
if (!empty()) {
const key_type &key = params_type::key(v);
if (position == end() || !compare_keys(position.key(), key)) {
iterator prev = position;
if (position == begin() || !compare_keys(key, (--prev).key())) {
// prev.key() <= key <= position.key()
return internal_emplace(position, std::forward<ValueType>(v));
}
} else {
iterator next = position;
++next;
if (next == end() || !compare_keys(next.key(), key)) {
// position.key() < key <= next.key()
return internal_emplace(next, std::forward<ValueType>(v));
}
}
}
return insert_multi(std::forward<ValueType>(v));
}
template <typename P>
template <typename InputIterator>
void btree<P>::insert_iterator_multi(InputIterator b, InputIterator e) {
for (; b != e; ++b) {
insert_hint_multi(end(), *b);
}
}
template <typename P>
auto btree<P>::operator=(const btree &x) -> btree & {
if (this != &x) {
clear();
*mutable_key_comp() = x.key_comp();
if (absl::allocator_traits<
allocator_type>::propagate_on_container_copy_assignment::value) {
*mutable_allocator() = x.allocator();
}
copy_or_move_values_in_order(&x);
}
return *this;
}
template <typename P>
auto btree<P>::operator=(btree &&x) noexcept -> btree & {
if (this != &x) {
clear();
using std::swap;
if (absl::allocator_traits<
allocator_type>::propagate_on_container_copy_assignment::value) {
// Note: `root_` also contains the allocator and the key comparator.
swap(root_, x.root_);
swap(rightmost_, x.rightmost_);
swap(size_, x.size_);
} else {
if (allocator() == x.allocator()) {
swap(mutable_root(), x.mutable_root());
swap(*mutable_key_comp(), *x.mutable_key_comp());
swap(rightmost_, x.rightmost_);
swap(size_, x.size_);
} else {
// We aren't allowed to propagate the allocator and the allocator is
// different so we can't take over its memory. We must move each element
// individually. We need both `x` and `this` to have `x`s key comparator
// while moving the values so we can't swap the key comparators.
*mutable_key_comp() = x.key_comp();
copy_or_move_values_in_order(&x);
}
}
}
return *this;
}
template <typename P>
auto btree<P>::erase(iterator iter) -> iterator {
bool internal_delete = false;
if (!iter.node->leaf()) {
// Deletion of a value on an internal node. First, move the largest value
// from our left child here, then delete that position (in remove_value()
// below). We can get to the largest value from our left child by
// decrementing iter.
iterator internal_iter(iter);
--iter;
assert(iter.node->leaf());
assert(!compare_keys(internal_iter.key(), iter.key()));
params_type::move(mutable_allocator(), iter.node->slot(iter.position),
internal_iter.node->slot(internal_iter.position));
internal_delete = true;
}
// Delete the key from the leaf.
iter.node->remove_value(iter.position, mutable_allocator());
--size_;
// We want to return the next value after the one we just erased. If we
// erased from an internal node (internal_delete == true), then the next
// value is ++(++iter). If we erased from a leaf node (internal_delete ==
// false) then the next value is ++iter. Note that ++iter may point to an
// internal node and the value in the internal node may move to a leaf node
// (iter.node) when rebalancing is performed at the leaf level.
iterator res = rebalance_after_delete(iter);
// If we erased from an internal node, advance the iterator.
if (internal_delete) {
++res;
}
return res;
}
template <typename P>
auto btree<P>::rebalance_after_delete(iterator iter) -> iterator {
// Merge/rebalance as we walk back up the tree.
iterator res(iter);
bool first_iteration = true;
for (;;) {
if (iter.node == root()) {
try_shrink();
if (empty()) {
return end();
}
break;
}
if (iter.node->count() >= kMinNodeValues) {
break;
}
bool merged = try_merge_or_rebalance(&iter);
// On the first iteration, we should update `res` with `iter` because `res`
// may have been invalidated.
if (first_iteration) {
res = iter;
first_iteration = false;
}
if (!merged) {
break;
}
iter.node = iter.node->parent();
}
// Adjust our return value. If we're pointing at the end of a node, advance
// the iterator.
if (res.position == res.node->count()) {
res.position = res.node->count() - 1;
++res;
}
return res;
}
template <typename P>
auto btree<P>::erase(iterator begin, iterator end)
-> std::pair<size_type, iterator> {
difference_type count = std::distance(begin, end);
assert(count >= 0);
if (count == 0) {
return {0, begin};
}
if (count == size_) {
clear();
return {count, this->end()};
}
if (begin.node == end.node) {
erase_same_node(begin, end);
size_ -= count;
return {count, rebalance_after_delete(begin)};
}
const size_type target_size = size_ - count;
while (size_ > target_size) {
if (begin.node->leaf()) {
const size_type remaining_to_erase = size_ - target_size;
const size_type remaining_in_node = begin.node->count() - begin.position;
begin = erase_from_leaf_node(
begin, (std::min)(remaining_to_erase, remaining_in_node));
} else {
begin = erase(begin);
}
}
return {count, begin};
}
template <typename P>
void btree<P>::erase_same_node(iterator begin, iterator end) {
assert(begin.node == end.node);
assert(end.position > begin.position);
node_type *node = begin.node;
size_type to_erase = end.position - begin.position;
if (!node->leaf()) {
// Delete all children between begin and end.
for (size_type i = 0; i < to_erase; ++i) {
internal_clear(node->child(begin.position + i + 1));
}
// Rotate children after end into new positions.
for (size_type i = begin.position + to_erase + 1; i <= node->count(); ++i) {
node->set_child(i - to_erase, node->child(i));
node->clear_child(i);
}
}
node->remove_values_ignore_children(begin.position, to_erase,
mutable_allocator());
// Do not need to update rightmost_, because
// * either end == this->end(), and therefore node == rightmost_, and still
// exists
// * or end != this->end(), and therefore rightmost_ hasn't been erased, since
// it wasn't covered in [begin, end)
}
template <typename P>
auto btree<P>::erase_from_leaf_node(iterator begin, size_type to_erase)
-> iterator {
node_type *node = begin.node;
assert(node->leaf());
assert(node->count() > begin.position);
assert(begin.position + to_erase <= node->count());
node->remove_values_ignore_children(begin.position, to_erase,
mutable_allocator());
size_ -= to_erase;
return rebalance_after_delete(begin);
}
template <typename P>
template <typename K>
auto btree<P>::erase_unique(const K &key) -> size_type {
const iterator iter = internal_find(key);
if (iter.node == nullptr) {
// The key doesn't exist in the tree, return nothing done.
return 0;
}
erase(iter);
return 1;
}
template <typename P>
template <typename K>
auto btree<P>::erase_multi(const K &key) -> size_type {
const iterator begin = internal_lower_bound(key);
if (begin.node == nullptr) {
// The key doesn't exist in the tree, return nothing done.
return 0;
}
// Delete all of the keys between begin and upper_bound(key).
const iterator end = internal_end(internal_upper_bound(key));
return erase(begin, end).first;
}
template <typename P>
void btree<P>::clear() {
if (!empty()) {
internal_clear(root());
}
mutable_root() = EmptyNode();
rightmost_ = EmptyNode();
size_ = 0;
}
template <typename P>
void btree<P>::swap(btree &x) {
using std::swap;
if (absl::allocator_traits<
allocator_type>::propagate_on_container_swap::value) {
// Note: `root_` also contains the allocator and the key comparator.
swap(root_, x.root_);
} else {
// It's undefined behavior if the allocators are unequal here.
assert(allocator() == x.allocator());
swap(mutable_root(), x.mutable_root());
swap(*mutable_key_comp(), *x.mutable_key_comp());
}
swap(rightmost_, x.rightmost_);
swap(size_, x.size_);
}
template <typename P>
void btree<P>::verify() const {
assert(root() != nullptr);
assert(leftmost() != nullptr);
assert(rightmost_ != nullptr);
assert(empty() || size() == internal_verify(root(), nullptr, nullptr));
assert(leftmost() == (++const_iterator(root(), -1)).node);
assert(rightmost_ == (--const_iterator(root(), root()->count())).node);
assert(leftmost()->leaf());
assert(rightmost_->leaf());
}
template <typename P>
void btree<P>::rebalance_or_split(iterator *iter) {
node_type *&node = iter->node;
int &insert_position = iter->position;
assert(node->count() == node->max_count());
assert(kNodeValues == node->max_count());
// First try to make room on the node by rebalancing.
node_type *parent = node->parent();
if (node != root()) {
if (node->position() > 0) {
// Try rebalancing with our left sibling.
node_type *left = parent->child(node->position() - 1);
assert(left->max_count() == kNodeValues);
if (left->count() < kNodeValues) {
// We bias rebalancing based on the position being inserted. If we're
// inserting at the end of the right node then we bias rebalancing to
// fill up the left node.
int to_move = (kNodeValues - left->count()) /
(1 + (insert_position < kNodeValues));
to_move = (std::max)(1, to_move);
if (((insert_position - to_move) >= 0) ||
((left->count() + to_move) < kNodeValues)) {
left->rebalance_right_to_left(to_move, node, mutable_allocator());
assert(node->max_count() - node->count() == to_move);
insert_position = insert_position - to_move;
if (insert_position < 0) {
insert_position = insert_position + left->count() + 1;
node = left;
}
assert(node->count() < node->max_count());
return;
}
}
}
if (node->position() < parent->count()) {
// Try rebalancing with our right sibling.
node_type *right = parent->child(node->position() + 1);
assert(right->max_count() == kNodeValues);
if (right->count() < kNodeValues) {
// We bias rebalancing based on the position being inserted. If we're
// inserting at the beginning of the left node then we bias rebalancing
// to fill up the right node.
int to_move =
(kNodeValues - right->count()) / (1 + (insert_position > 0));
to_move = (std::max)(1, to_move);
if ((insert_position <= (node->count() - to_move)) ||
((right->count() + to_move) < kNodeValues)) {
node->rebalance_left_to_right(to_move, right, mutable_allocator());
if (insert_position > node->count()) {
insert_position = insert_position - node->count() - 1;
node = right;
}
assert(node->count() < node->max_count());
return;
}
}
}
// Rebalancing failed, make sure there is room on the parent node for a new
// value.
assert(parent->max_count() == kNodeValues);
if (parent->count() == kNodeValues) {
iterator parent_iter(node->parent(), node->position());
rebalance_or_split(&parent_iter);
}
} else {
// Rebalancing not possible because this is the root node.
// Create a new root node and set the current root node as the child of the
// new root.
parent = new_internal_node(parent);
parent->init_child(0, root());
mutable_root() = parent;
// If the former root was a leaf node, then it's now the rightmost node.
assert(!parent->child(0)->leaf() || parent->child(0) == rightmost_);
}
// Split the node.
node_type *split_node;
if (node->leaf()) {
split_node = new_leaf_node(parent);
node->split(insert_position, split_node, mutable_allocator());
if (rightmost_ == node) rightmost_ = split_node;
} else {
split_node = new_internal_node(parent);
node->split(insert_position, split_node, mutable_allocator());
}
if (insert_position > node->count()) {
insert_position = insert_position - node->count() - 1;
node = split_node;
}
}
template <typename P>
void btree<P>::merge_nodes(node_type *left, node_type *right) {
left->merge(right, mutable_allocator());
if (right->leaf()) {
if (rightmost_ == right) rightmost_ = left;
delete_leaf_node(right);
} else {
delete_internal_node(right);
}
}
template <typename P>
bool btree<P>::try_merge_or_rebalance(iterator *iter) {
node_type *parent = iter->node->parent();
if (iter->node->position() > 0) {
// Try merging with our left sibling.
node_type *left = parent->child(iter->node->position() - 1);
assert(left->max_count() == kNodeValues);
if ((1 + left->count() + iter->node->count()) <= kNodeValues) {
iter->position += 1 + left->count();
merge_nodes(left, iter->node);
iter->node = left;
return true;
}
}
if (iter->node->position() < parent->count()) {
// Try merging with our right sibling.
node_type *right = parent->child(iter->node->position() + 1);
assert(right->max_count() == kNodeValues);
if ((1 + iter->node->count() + right->count()) <= kNodeValues) {
merge_nodes(iter->node, right);
return true;
}
// Try rebalancing with our right sibling. We don't perform rebalancing if
// we deleted the first element from iter->node and the node is not
// empty. This is a small optimization for the common pattern of deleting
// from the front of the tree.
if ((right->count() > kMinNodeValues) &&
((iter->node->count() == 0) ||
(iter->position > 0))) {
int to_move = (right->count() - iter->node->count()) / 2;
to_move = (std::min)(to_move, right->count() - 1);
iter->node->rebalance_right_to_left(to_move, right, mutable_allocator());
return false;
}
}
if (iter->node->position() > 0) {
// Try rebalancing with our left sibling. We don't perform rebalancing if
// we deleted the last element from iter->node and the node is not
// empty. This is a small optimization for the common pattern of deleting
// from the back of the tree.
node_type *left = parent->child(iter->node->position() - 1);
if ((left->count() > kMinNodeValues) &&
((iter->node->count() == 0) ||
(iter->position < iter->node->count()))) {
int to_move = (left->count() - iter->node->count()) / 2;
to_move = (std::min)(to_move, left->count() - 1);
left->rebalance_left_to_right(to_move, iter->node, mutable_allocator());
iter->position += to_move;
return false;
}
}
return false;
}
template <typename P>
void btree<P>::try_shrink() {
if (root()->count() > 0) {
return;
}
// Deleted the last item on the root node, shrink the height of the tree.
if (root()->leaf()) {
assert(size() == 0);
delete_leaf_node(root());
mutable_root() = EmptyNode();
rightmost_ = EmptyNode();
} else {
node_type *child = root()->child(0);
child->make_root();
delete_internal_node(root());
mutable_root() = child;
}
}
template <typename P>
template <typename IterType>
inline IterType btree<P>::internal_last(IterType iter) {
assert(iter.node != nullptr);
while (iter.position == iter.node->count()) {
iter.position = iter.node->position();
iter.node = iter.node->parent();
if (iter.node->leaf()) {
iter.node = nullptr;
break;
}
}
return iter;
}
template <typename P>
template <typename... Args>
inline auto btree<P>::internal_emplace(iterator iter, Args &&... args)
-> iterator {
if (!iter.node->leaf()) {
// We can't insert on an internal node. Instead, we'll insert after the
// previous value which is guaranteed to be on a leaf node.
--iter;
++iter.position;
}
const int max_count = iter.node->max_count();
if (iter.node->count() == max_count) {
// Make room in the leaf for the new item.
if (max_count < kNodeValues) {
// Insertion into the root where the root is smaller than the full node
// size. Simply grow the size of the root node.
assert(iter.node == root());
iter.node =
new_leaf_root_node((std::min<int>)(kNodeValues, 2 * max_count));
iter.node->swap(root(), mutable_allocator());
delete_leaf_node(root());
mutable_root() = iter.node;
rightmost_ = iter.node;
} else {
rebalance_or_split(&iter);
}
}
iter.node->emplace_value(iter.position, mutable_allocator(),
std::forward<Args>(args)...);
++size_;
return iter;
}
template <typename P>
template <typename K>
inline auto btree<P>::internal_locate(const K &key) const
-> SearchResult<iterator, is_key_compare_to::value> {
return internal_locate_impl(key, is_key_compare_to());
}
template <typename P>
template <typename K>
inline auto btree<P>::internal_locate_impl(
const K &key, std::false_type /* IsCompareTo */) const
-> SearchResult<iterator, false> {
iterator iter(const_cast<node_type *>(root()), 0);
for (;;) {
iter.position = iter.node->lower_bound(key, key_comp()).value;
// NOTE: we don't need to walk all the way down the tree if the keys are
// equal, but determining equality would require doing an extra comparison
// on each node on the way down, and we will need to go all the way to the
// leaf node in the expected case.
if (iter.node->leaf()) {
break;
}
iter.node = iter.node->child(iter.position);
}
return {iter};
}
template <typename P>
template <typename K>
inline auto btree<P>::internal_locate_impl(
const K &key, std::true_type /* IsCompareTo */) const
-> SearchResult<iterator, true> {
iterator iter(const_cast<node_type *>(root()), 0);
for (;;) {
SearchResult<int, true> res = iter.node->lower_bound(key, key_comp());
iter.position = res.value;
if (res.match == MatchKind::kEq) {
return {iter, MatchKind::kEq};
}
if (iter.node->leaf()) {
break;
}
iter.node = iter.node->child(iter.position);
}
return {iter, MatchKind::kNe};
}
template <typename P>
template <typename K>
auto btree<P>::internal_lower_bound(const K &key) const -> iterator {
iterator iter(const_cast<node_type *>(root()), 0);
for (;;) {
iter.position = iter.node->lower_bound(key, key_comp()).value;
if (iter.node->leaf()) {
break;
}
iter.node = iter.node->child(iter.position);
}
return internal_last(iter);
}
template <typename P>
template <typename K>
auto btree<P>::internal_upper_bound(const K &key) const -> iterator {
iterator iter(const_cast<node_type *>(root()), 0);
for (;;) {
iter.position = iter.node->upper_bound(key, key_comp());
if (iter.node->leaf()) {
break;
}
iter.node = iter.node->child(iter.position);
}
return internal_last(iter);
}
template <typename P>
template <typename K>
auto btree<P>::internal_find(const K &key) const -> iterator {
auto res = internal_locate(key);
if (res.HasMatch()) {
if (res.IsEq()) {
return res.value;
}
} else {
const iterator iter = internal_last(res.value);
if (iter.node != nullptr && !compare_keys(key, iter.key())) {
return iter;
}
}
return {nullptr, 0};
}
template <typename P>
void btree<P>::internal_clear(node_type *node) {
if (!node->leaf()) {
for (int i = 0; i <= node->count(); ++i) {
internal_clear(node->child(i));
}
delete_internal_node(node);
} else {
delete_leaf_node(node);
}
}
template <typename P>
int btree<P>::internal_verify(
const node_type *node, const key_type *lo, const key_type *hi) const {
assert(node->count() > 0);
assert(node->count() <= node->max_count());
if (lo) {
assert(!compare_keys(node->key(0), *lo));
}
if (hi) {
assert(!compare_keys(*hi, node->key(node->count() - 1)));
}
for (int i = 1; i < node->count(); ++i) {
assert(!compare_keys(node->key(i), node->key(i - 1)));
}
int count = node->count();
if (!node->leaf()) {
for (int i = 0; i <= node->count(); ++i) {
assert(node->child(i) != nullptr);
assert(node->child(i)->parent() == node);
assert(node->child(i)->position() == i);
count += internal_verify(
node->child(i),
(i == 0) ? lo : &node->key(i - 1),
(i == node->count()) ? hi : &node->key(i));
}
}
return count;
}
} // namespace container_internal
} // namespace absl
#endif // ABSL_CONTAINER_INTERNAL_BTREE_H_
// Copyright 2018 The Abseil Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef ABSL_CONTAINER_INTERNAL_BTREE_CONTAINER_H_
#define ABSL_CONTAINER_INTERNAL_BTREE_CONTAINER_H_
#include <algorithm>
#include <initializer_list>
#include <iterator>
#include <utility>
#include "absl/base/internal/throw_delegate.h"
#include "absl/container/internal/btree.h" // IWYU pragma: export
#include "absl/container/internal/common.h"
#include "absl/meta/type_traits.h"
namespace absl {
namespace container_internal {
// A common base class for btree_set, btree_map, btree_multiset, and
// btree_multimap.
template <typename Tree>
class btree_container {
using params_type = typename Tree::params_type;
protected:
// Alias used for heterogeneous lookup functions.
// `key_arg<K>` evaluates to `K` when the functors are transparent and to
// `key_type` otherwise. It permits template argument deduction on `K` for the
// transparent case.
template <class K>
using key_arg =
typename KeyArg<IsTransparent<typename Tree::key_compare>::value>::
template type<K, typename Tree::key_type>;
public:
using key_type = typename Tree::key_type;
using value_type = typename Tree::value_type;
using size_type = typename Tree::size_type;
using difference_type = typename Tree::difference_type;
using key_compare = typename Tree::key_compare;
using value_compare = typename Tree::value_compare;
using allocator_type = typename Tree::allocator_type;
using reference = typename Tree::reference;
using const_reference = typename Tree::const_reference;
using pointer = typename Tree::pointer;
using const_pointer = typename Tree::const_pointer;
using iterator = typename Tree::iterator;
using const_iterator = typename Tree::const_iterator;
using reverse_iterator = typename Tree::reverse_iterator;
using const_reverse_iterator = typename Tree::const_reverse_iterator;
using node_type = typename Tree::node_handle_type;
// Constructors/assignments.
btree_container() : tree_(key_compare(), allocator_type()) {}
explicit btree_container(const key_compare &comp,
const allocator_type &alloc = allocator_type())
: tree_(comp, alloc) {}
btree_container(const btree_container &x) = default;
btree_container(btree_container &&x) noexcept = default;
btree_container &operator=(const btree_container &x) = default;
btree_container &operator=(btree_container &&x) noexcept(
std::is_nothrow_move_assignable<Tree>::value) = default;
// Iterator routines.
iterator begin() { return tree_.begin(); }
const_iterator begin() const { return tree_.begin(); }
const_iterator cbegin() const { return tree_.begin(); }
iterator end() { return tree_.end(); }
const_iterator end() const { return tree_.end(); }
const_iterator cend() const { return tree_.end(); }
reverse_iterator rbegin() { return tree_.rbegin(); }
const_reverse_iterator rbegin() const { return tree_.rbegin(); }
const_reverse_iterator crbegin() const { return tree_.rbegin(); }
reverse_iterator rend() { return tree_.rend(); }
const_reverse_iterator rend() const { return tree_.rend(); }
const_reverse_iterator crend() const { return tree_.rend(); }
// Lookup routines.
template <typename K = key_type>
iterator find(const key_arg<K> &key) {
return tree_.find(key);
}
template <typename K = key_type>
const_iterator find(const key_arg<K> &key) const {
return tree_.find(key);
}
template <typename K = key_type>
bool contains(const key_arg<K> &key) const {
return find(key) != end();
}
template <typename K = key_type>
iterator lower_bound(const key_arg<K> &key) {
return tree_.lower_bound(key);
}
template <typename K = key_type>
const_iterator lower_bound(const key_arg<K> &key) const {
return tree_.lower_bound(key);
}
template <typename K = key_type>
iterator upper_bound(const key_arg<K> &key) {
return tree_.upper_bound(key);
}
template <typename K = key_type>
const_iterator upper_bound(const key_arg<K> &key) const {
return tree_.upper_bound(key);
}
template <typename K = key_type>
std::pair<iterator, iterator> equal_range(const key_arg<K> &key) {
return tree_.equal_range(key);
}
template <typename K = key_type>
std::pair<const_iterator, const_iterator> equal_range(
const key_arg<K> &key) const {
return tree_.equal_range(key);
}
// Deletion routines. Note that there is also a deletion routine that is
// specific to btree_set_container/btree_multiset_container.
// Erase the specified iterator from the btree. The iterator must be valid
// (i.e. not equal to end()). Return an iterator pointing to the node after
// the one that was erased (or end() if none exists).
iterator erase(const_iterator iter) { return tree_.erase(iterator(iter)); }
iterator erase(iterator iter) { return tree_.erase(iter); }
iterator erase(const_iterator first, const_iterator last) {
return tree_.erase(iterator(first), iterator(last)).second;
}
// Extract routines.
node_type extract(iterator position) {
// Use Move instead of Transfer, because the rebalancing code expects to
// have a valid object to scribble metadata bits on top of.
auto node = CommonAccess::Move<node_type>(get_allocator(), position.slot());
erase(position);
return node;
}
node_type extract(const_iterator position) {
return extract(iterator(position));
}
public:
// Utility routines.
void clear() { tree_.clear(); }
void swap(btree_container &x) { tree_.swap(x.tree_); }
void verify() const { tree_.verify(); }
// Size routines.
size_type size() const { return tree_.size(); }
size_type max_size() const { return tree_.max_size(); }
bool empty() const { return tree_.empty(); }
friend bool operator==(const btree_container &x, const btree_container &y) {
if (x.size() != y.size()) return false;
return std::equal(x.begin(), x.end(), y.begin());
}
friend bool operator!=(const btree_container &x, const btree_container &y) {
return !(x == y);
}
friend bool operator<(const btree_container &x, const btree_container &y) {
return std::lexicographical_compare(x.begin(), x.end(), y.begin(), y.end());
}
friend bool operator>(const btree_container &x, const btree_container &y) {
return y < x;
}
friend bool operator<=(const btree_container &x, const btree_container &y) {
return !(y < x);
}
friend bool operator>=(const btree_container &x, const btree_container &y) {
return !(x < y);
}
// The allocator used by the btree.
allocator_type get_allocator() const { return tree_.get_allocator(); }
// The key comparator used by the btree.
key_compare key_comp() const { return tree_.key_comp(); }
value_compare value_comp() const { return tree_.value_comp(); }
// Support absl::Hash.
template <typename State>
friend State AbslHashValue(State h, const btree_container &b) {
for (const auto &v : b) {
h = State::combine(std::move(h), v);
}
return State::combine(std::move(h), b.size());
}
protected:
Tree tree_;
};
// A common base class for btree_set and btree_map.
template <typename Tree>
class btree_set_container : public btree_container<Tree> {
using super_type = btree_container<Tree>;
using params_type = typename Tree::params_type;
using init_type = typename params_type::init_type;
using is_key_compare_to = typename params_type::is_key_compare_to;
friend class BtreeNodePeer;
protected:
template <class K>
using key_arg = typename super_type::template key_arg<K>;
public:
using key_type = typename Tree::key_type;
using value_type = typename Tree::value_type;
using size_type = typename Tree::size_type;
using key_compare = typename Tree::key_compare;
using allocator_type = typename Tree::allocator_type;
using iterator = typename Tree::iterator;
using const_iterator = typename Tree::const_iterator;
using node_type = typename super_type::node_type;
using insert_return_type = InsertReturnType<iterator, node_type>;
// Inherit constructors.
using super_type::super_type;
btree_set_container() {}
// Range constructor.
template <class InputIterator>
btree_set_container(InputIterator b, InputIterator e,
const key_compare &comp = key_compare(),
const allocator_type &alloc = allocator_type())
: super_type(comp, alloc) {
insert(b, e);
}
// Initializer list constructor.
btree_set_container(std::initializer_list<init_type> init,
const key_compare &comp = key_compare(),
const allocator_type &alloc = allocator_type())
: btree_set_container(init.begin(), init.end(), comp, alloc) {}
// Lookup routines.
template <typename K = key_type>
size_type count(const key_arg<K> &key) const {
return this->tree_.count_unique(key);
}
// Insertion routines.
std::pair<iterator, bool> insert(const value_type &x) {
return this->tree_.insert_unique(params_type::key(x), x);
}
std::pair<iterator, bool> insert(value_type &&x) {
return this->tree_.insert_unique(params_type::key(x), std::move(x));
}
template <typename... Args>
std::pair<iterator, bool> emplace(Args &&... args) {
init_type v(std::forward<Args>(args)...);
return this->tree_.insert_unique(params_type::key(v), std::move(v));
}
iterator insert(const_iterator position, const value_type &x) {
return this->tree_
.insert_hint_unique(iterator(position), params_type::key(x), x)
.first;
}
iterator insert(const_iterator position, value_type &&x) {
return this->tree_
.insert_hint_unique(iterator(position), params_type::key(x),
std::move(x))
.first;
}
template <typename... Args>
iterator emplace_hint(const_iterator position, Args &&... args) {
init_type v(std::forward<Args>(args)...);
return this->tree_
.insert_hint_unique(iterator(position), params_type::key(v),
std::move(v))
.first;
}
template <typename InputIterator>
void insert(InputIterator b, InputIterator e) {
this->tree_.insert_iterator_unique(b, e);
}
void insert(std::initializer_list<init_type> init) {
this->tree_.insert_iterator_unique(init.begin(), init.end());
}
insert_return_type insert(node_type &&node) {
if (!node) return {this->end(), false, node_type()};
std::pair<iterator, bool> res =
insert(std::move(params_type::element(CommonAccess::GetSlot(node))));
if (res.second) {
CommonAccess::Reset(&node);
return {res.first, true, node_type()};
} else {
return {res.first, false, std::move(node)};
}
}
iterator insert(const_iterator hint, node_type &&node) {
if (!node) return this->end();
std::pair<iterator, bool> res = this->tree_.insert_hint_unique(
iterator(hint), params_type::key(CommonAccess::GetSlot(node)),
std::move(params_type::element(CommonAccess::GetSlot(node))));
if (res.second) CommonAccess::Reset(&node);
return res.first;
}
// Deletion routines.
template <typename K = key_type>
size_type erase(const key_arg<K> &key) {
return this->tree_.erase_unique(key);
}
using super_type::erase;
// Node extraction routines.
template <typename K = key_type>
node_type extract(const key_arg<K> &key) {
auto it = find(key);
return it == this->end() ? node_type() : extract(it);
}
using super_type::extract;
// Merge routines.
// Moves elements from `src` into `this`. If the element already exists in
// `this`, it is left unmodified in `src`.
template <
typename T,
typename absl::enable_if_t<
absl::conjunction<
std::is_same<value_type, typename T::value_type>,
std::is_same<allocator_type, typename T::allocator_type>,
std::is_same<typename params_type::is_map_container,
typename T::params_type::is_map_container>>::value,
int> = 0>
void merge(btree_container<T> &src) { // NOLINT
for (auto src_it = src.begin(); src_it != src.end();) {
if (insert(std::move(*src_it)).second) {
src_it = src.erase(src_it);
} else {
++src_it;
}
}
}
template <
typename T,
typename absl::enable_if_t<
absl::conjunction<
std::is_same<value_type, typename T::value_type>,
std::is_same<allocator_type, typename T::allocator_type>,
std::is_same<typename params_type::is_map_container,
typename T::params_type::is_map_container>>::value,
int> = 0>
void merge(btree_container<T> &&src) {
merge(src);
}
};
// Base class for btree_map.
template <typename Tree>
class btree_map_container : public btree_set_container<Tree> {
using super_type = btree_set_container<Tree>;
using params_type = typename Tree::params_type;
protected:
template <class K>
using key_arg = typename super_type::template key_arg<K>;
public:
using key_type = typename Tree::key_type;
using mapped_type = typename params_type::mapped_type;
using value_type = typename Tree::value_type;
using key_compare = typename Tree::key_compare;
using allocator_type = typename Tree::allocator_type;
using iterator = typename Tree::iterator;
using const_iterator = typename Tree::const_iterator;
// Inherit constructors.
using super_type::super_type;
btree_map_container() {}
// Insertion routines.
template <typename... Args>
std::pair<iterator, bool> try_emplace(const key_type &k, Args &&... args) {
return this->tree_.insert_unique(
k, std::piecewise_construct, std::forward_as_tuple(k),
std::forward_as_tuple(std::forward<Args>(args)...));
}
template <typename... Args>
std::pair<iterator, bool> try_emplace(key_type &&k, Args &&... args) {
// Note: `key_ref` exists to avoid a ClangTidy warning about moving from `k`
// and then using `k` unsequenced. This is safe because the move is into a
// forwarding reference and insert_unique guarantees that `key` is never
// referenced after consuming `args`.
const key_type& key_ref = k;
return this->tree_.insert_unique(
key_ref, std::piecewise_construct, std::forward_as_tuple(std::move(k)),
std::forward_as_tuple(std::forward<Args>(args)...));
}
template <typename... Args>
iterator try_emplace(const_iterator hint, const key_type &k,
Args &&... args) {
return this->tree_
.insert_hint_unique(iterator(hint), k, std::piecewise_construct,
std::forward_as_tuple(k),
std::forward_as_tuple(std::forward<Args>(args)...))
.first;
}
template <typename... Args>
iterator try_emplace(const_iterator hint, key_type &&k, Args &&... args) {
// Note: `key_ref` exists to avoid a ClangTidy warning about moving from `k`
// and then using `k` unsequenced. This is safe because the move is into a
// forwarding reference and insert_hint_unique guarantees that `key` is
// never referenced after consuming `args`.
const key_type& key_ref = k;
return this->tree_
.insert_hint_unique(iterator(hint), key_ref, std::piecewise_construct,
std::forward_as_tuple(std::move(k)),
std::forward_as_tuple(std::forward<Args>(args)...))
.first;
}
mapped_type &operator[](const key_type &k) {
return try_emplace(k).first->second;
}
mapped_type &operator[](key_type &&k) {
return try_emplace(std::move(k)).first->second;
}
template <typename K = key_type>
mapped_type &at(const key_arg<K> &key) {
auto it = this->find(key);
if (it == this->end())
base_internal::ThrowStdOutOfRange("absl::btree_map::at");
return it->second;
}
template <typename K = key_type>
const mapped_type &at(const key_arg<K> &key) const {
auto it = this->find(key);
if (it == this->end())
base_internal::ThrowStdOutOfRange("absl::btree_map::at");
return it->second;
}
};
// A common base class for btree_multiset and btree_multimap.
template <typename Tree>
class btree_multiset_container : public btree_container<Tree> {
using super_type = btree_container<Tree>;
using params_type = typename Tree::params_type;
using init_type = typename params_type::init_type;
using is_key_compare_to = typename params_type::is_key_compare_to;
template <class K>
using key_arg = typename super_type::template key_arg<K>;
public:
using key_type = typename Tree::key_type;
using value_type = typename Tree::value_type;
using size_type = typename Tree::size_type;
using key_compare = typename Tree::key_compare;
using allocator_type = typename Tree::allocator_type;
using iterator = typename Tree::iterator;
using const_iterator = typename Tree::const_iterator;
using node_type = typename super_type::node_type;
// Inherit constructors.
using super_type::super_type;
btree_multiset_container() {}
// Range constructor.
template <class InputIterator>
btree_multiset_container(InputIterator b, InputIterator e,
const key_compare &comp = key_compare(),
const allocator_type &alloc = allocator_type())
: super_type(comp, alloc) {
insert(b, e);
}
// Initializer list constructor.
btree_multiset_container(std::initializer_list<init_type> init,
const key_compare &comp = key_compare(),
const allocator_type &alloc = allocator_type())
: btree_multiset_container(init.begin(), init.end(), comp, alloc) {}
// Lookup routines.
template <typename K = key_type>
size_type count(const key_arg<K> &key) const {
return this->tree_.count_multi(key);
}
// Insertion routines.
iterator insert(const value_type &x) { return this->tree_.insert_multi(x); }
iterator insert(value_type &&x) {
return this->tree_.insert_multi(std::move(x));
}
iterator insert(const_iterator position, const value_type &x) {
return this->tree_.insert_hint_multi(iterator(position), x);
}
iterator insert(const_iterator position, value_type &&x) {
return this->tree_.insert_hint_multi(iterator(position), std::move(x));
}
template <typename InputIterator>
void insert(InputIterator b, InputIterator e) {
this->tree_.insert_iterator_multi(b, e);
}
void insert(std::initializer_list<init_type> init) {
this->tree_.insert_iterator_multi(init.begin(), init.end());
}
template <typename... Args>
iterator emplace(Args &&... args) {
return this->tree_.insert_multi(init_type(std::forward<Args>(args)...));
}
template <typename... Args>
iterator emplace_hint(const_iterator position, Args &&... args) {
return this->tree_.insert_hint_multi(
iterator(position), init_type(std::forward<Args>(args)...));
}
private:
template <typename... Args>
iterator insert_node_helper(node_type &&node, Args &&... args) {
if (!node) return this->end();
iterator res =
insert(std::forward<Args>(args)...,
std::move(params_type::element(CommonAccess::GetSlot(node))));
CommonAccess::Reset(&node);
return res;
}
public:
iterator insert(node_type &&node) {
return insert_node_helper(std::move(node));
}
iterator insert(const_iterator hint, node_type &&node) {
return insert_node_helper(std::move(node), hint);
}
// Deletion routines.
template <typename K = key_type>
size_type erase(const key_arg<K> &key) {
return this->tree_.erase_multi(key);
}
using super_type::erase;
// Node extraction routines.
template <typename K = key_type>
node_type extract(const key_arg<K> &key) {
auto it = find(key);
return it == this->end() ? node_type() : extract(it);
}
using super_type::extract;
// Merge routines.
// Moves all elements from `src` into `this`.
template <
typename T,
typename absl::enable_if_t<
absl::conjunction<
std::is_same<value_type, typename T::value_type>,
std::is_same<allocator_type, typename T::allocator_type>,
std::is_same<typename params_type::is_map_container,
typename T::params_type::is_map_container>>::value,
int> = 0>
void merge(btree_container<T> &src) { // NOLINT
insert(std::make_move_iterator(src.begin()),
std::make_move_iterator(src.end()));
src.clear();
}
template <
typename T,
typename absl::enable_if_t<
absl::conjunction<
std::is_same<value_type, typename T::value_type>,
std::is_same<allocator_type, typename T::allocator_type>,
std::is_same<typename params_type::is_map_container,
typename T::params_type::is_map_container>>::value,
int> = 0>
void merge(btree_container<T> &&src) {
merge(src);
}
};
// A base class for btree_multimap.
template <typename Tree>
class btree_multimap_container : public btree_multiset_container<Tree> {
using super_type = btree_multiset_container<Tree>;
using params_type = typename Tree::params_type;
public:
using mapped_type = typename params_type::mapped_type;
// Inherit constructors.
using super_type::super_type;
btree_multimap_container() {}
};
} // namespace container_internal
} // namespace absl
#endif // ABSL_CONTAINER_INTERNAL_BTREE_CONTAINER_H_
...@@ -979,8 +979,16 @@ TEST(StringViewTest, ConstexprCompiles) { ...@@ -979,8 +979,16 @@ TEST(StringViewTest, ConstexprCompiles) {
constexpr absl::string_view::iterator const_end = cstr_len.end(); constexpr absl::string_view::iterator const_end = cstr_len.end();
constexpr absl::string_view::size_type const_size = cstr_len.size(); constexpr absl::string_view::size_type const_size = cstr_len.size();
constexpr absl::string_view::size_type const_length = cstr_len.length(); constexpr absl::string_view::size_type const_length = cstr_len.length();
static_assert(const_begin + const_size == const_end,
"pointer arithmetic check");
static_assert(const_begin + const_length == const_end,
"pointer arithmetic check");
#ifndef _MSC_VER
// MSVC has bugs doing constexpr pointer arithmetic.
// https://developercommunity.visualstudio.com/content/problem/482192/bad-pointer-arithmetic-in-constepxr-2019-rc1-svc1.html
EXPECT_EQ(const_begin + const_size, const_end); EXPECT_EQ(const_begin + const_size, const_end);
EXPECT_EQ(const_begin + const_length, const_end); EXPECT_EQ(const_begin + const_length, const_end);
#endif
constexpr bool isempty = sp.empty(); constexpr bool isempty = sp.empty();
EXPECT_TRUE(isempty); EXPECT_TRUE(isempty);
......
...@@ -380,11 +380,11 @@ constexpr Duration InfiniteDuration(); ...@@ -380,11 +380,11 @@ constexpr Duration InfiniteDuration();
// of the unit indicated by the factory function's name. The number must be // of the unit indicated by the factory function's name. The number must be
// representable as int64_t. // representable as int64_t.
// //
// Note: no "Days()" factory function exists because "a day" is ambiguous. // NOTE: no "Days()" factory function exists because "a day" is ambiguous.
// Civil days are not always 24 hours long, and a 24-hour duration often does // Civil days are not always 24 hours long, and a 24-hour duration often does
// not correspond with a civil day. If a 24-hour duration is needed, use // not correspond with a civil day. If a 24-hour duration is needed, use
// `absl::Hours(24)`. (If you actually want a civil day, use absl::CivilDay // `absl::Hours(24)`. If you actually want a civil day, use absl::CivilDay
// from civil_time.h.) // from civil_time.h.
// //
// Example: // Example:
// //
......
...@@ -23,16 +23,25 @@ if [ -z ${ABSEIL_ROOT:-} ]; then ...@@ -23,16 +23,25 @@ if [ -z ${ABSEIL_ROOT:-} ]; then
ABSEIL_ROOT="$(realpath $(dirname ${0})/..)" ABSEIL_ROOT="$(realpath $(dirname ${0})/..)"
fi fi
# Print the default compiler and Bazel versions. # If we are running on Kokoro, check for a versioned Bazel binary.
KOKORO_GFILE_BAZEL_BIN="bazel-0.28.1-darwin-x86_64"
if [ ${KOKORO_GFILE_DIR:-} ] && [ -f ${KOKORO_GFILE_DIR}/${KOKORO_GFILE_BAZEL_BIN} ]; then
BAZEL_BIN="${KOKORO_GFILE_DIR}/${KOKORO_GFILE_BAZEL_BIN}"
chmod +x ${BAZEL_BIN}
else
BAZEL_BIN="bazel"
fi
# Print the compiler and Bazel versions.
echo "---------------" echo "---------------"
gcc -v gcc -v
echo "---------------" echo "---------------"
bazel version ${BAZEL_BIN} version
echo "---------------" echo "---------------"
cd ${ABSEIL_ROOT} cd ${ABSEIL_ROOT}
bazel test ... \ ${BAZEL_BIN} test ... \
--copt=-Werror \ --copt=-Werror \
--keep_going \ --keep_going \
--show_timestamps \ --show_timestamps \
......
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