Abseil Common Libraries (C++) (grcp 依赖) https://abseil.io/
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Export of internal Abseil changes -- f012012ef78234a6a4585321b67d7b7c92ebc266 by Laramie Leavitt <lar@google.com>: Slight restructuring of absl/random/internal randen implementation. Convert round-keys.inc into randen_round_keys.cc file. Consistently use a 128-bit pointer type for internal method parameters. This allows simpler pointer arithmetic in C++ & permits removal of some constants and casts. Remove some redundancy in comments & constexpr variables. Specifically, all references to Randen algorithm parameters use RandenTraits; duplication in RandenSlow removed. PiperOrigin-RevId: 312190313 -- dc8b42e054046741e9ed65335bfdface997c6063 by Abseil Team <absl-team@google.com>: Internal change. PiperOrigin-RevId: 312167304 -- f13d248fafaf206492c1362c3574031aea3abaf7 by Matthew Brown <matthewbr@google.com>: Cleanup StrFormat extensions a little. PiperOrigin-RevId: 312166336 -- 9d9117589667afe2332bb7ad42bc967ca7c54502 by Derek Mauro <dmauro@google.com>: Internal change PiperOrigin-RevId: 312105213 -- 9a12b9b3aa0e59b8ee6cf9408ed0029045543a9b by Abseil Team <absl-team@google.com>: Complete IGNORE_TYPE macro renaming. PiperOrigin-RevId: 311999699 -- 64756f20d61021d999bd0d4c15e9ad3857382f57 by Gennadiy Rozental <rogeeff@google.com>: Switch to fixed bytes specific default value. This fixes the Abseil Flags for big endian platforms. PiperOrigin-RevId: 311844448 -- bdbe6b5b29791dbc3816ada1828458b3010ff1e9 by Laramie Leavitt <lar@google.com>: Change many distribution tests to use pcg_engine as a deterministic source of entropy. It's reasonable to test that the BitGen itself has good entropy, however when testing the cross product of all random distributions x all the architecture variations x all submitted changes results in a large number of tests. In order to account for these failures while still using good entropy requires that our allowed sigma need to account for all of these independent tests. Our current sigma values are too restrictive, and we see a lot of failures, so we have to either relax the sigma values or convert some of the statistical tests to use deterministic values. This changelist does the latter. PiperOrigin-RevId: 311840096 GitOrigin-RevId: f012012ef78234a6a4585321b67d7b7c92ebc266 Change-Id: Ic84886f38ff30d7d72c126e9b63c9a61eb729a1a
5 years ago
// 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 <limits>
Export of internal Abseil changes -- f012012ef78234a6a4585321b67d7b7c92ebc266 by Laramie Leavitt <lar@google.com>: Slight restructuring of absl/random/internal randen implementation. Convert round-keys.inc into randen_round_keys.cc file. Consistently use a 128-bit pointer type for internal method parameters. This allows simpler pointer arithmetic in C++ & permits removal of some constants and casts. Remove some redundancy in comments & constexpr variables. Specifically, all references to Randen algorithm parameters use RandenTraits; duplication in RandenSlow removed. PiperOrigin-RevId: 312190313 -- dc8b42e054046741e9ed65335bfdface997c6063 by Abseil Team <absl-team@google.com>: Internal change. PiperOrigin-RevId: 312167304 -- f13d248fafaf206492c1362c3574031aea3abaf7 by Matthew Brown <matthewbr@google.com>: Cleanup StrFormat extensions a little. PiperOrigin-RevId: 312166336 -- 9d9117589667afe2332bb7ad42bc967ca7c54502 by Derek Mauro <dmauro@google.com>: Internal change PiperOrigin-RevId: 312105213 -- 9a12b9b3aa0e59b8ee6cf9408ed0029045543a9b by Abseil Team <absl-team@google.com>: Complete IGNORE_TYPE macro renaming. PiperOrigin-RevId: 311999699 -- 64756f20d61021d999bd0d4c15e9ad3857382f57 by Gennadiy Rozental <rogeeff@google.com>: Switch to fixed bytes specific default value. This fixes the Abseil Flags for big endian platforms. PiperOrigin-RevId: 311844448 -- bdbe6b5b29791dbc3816ada1828458b3010ff1e9 by Laramie Leavitt <lar@google.com>: Change many distribution tests to use pcg_engine as a deterministic source of entropy. It's reasonable to test that the BitGen itself has good entropy, however when testing the cross product of all random distributions x all the architecture variations x all submitted changes results in a large number of tests. In order to account for these failures while still using good entropy requires that our allowed sigma need to account for all of these independent tests. Our current sigma values are too restrictive, and we see a lot of failures, so we have to either relax the sigma values or convert some of the statistical tests to use deterministic values. This changelist does the latter. PiperOrigin-RevId: 311840096 GitOrigin-RevId: f012012ef78234a6a4585321b67d7b7c92ebc266 Change-Id: Ic84886f38ff30d7d72c126e9b63c9a61eb729a1a
5 years ago
#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/base/macros.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 {
ABSL_NAMESPACE_BEGIN
namespace container_internal {
namespace {
using ::absl::test_internal::CopyableMovableInstance;
using ::absl::test_internal::InstanceTracker;
using ::absl::test_internal::MovableOnlyInstance;
using ::testing::ElementsAre;
using ::testing::ElementsAreArray;
using ::testing::IsEmpty;
using ::testing::IsNull;
Export of internal Abseil changes -- f012012ef78234a6a4585321b67d7b7c92ebc266 by Laramie Leavitt <lar@google.com>: Slight restructuring of absl/random/internal randen implementation. Convert round-keys.inc into randen_round_keys.cc file. Consistently use a 128-bit pointer type for internal method parameters. This allows simpler pointer arithmetic in C++ & permits removal of some constants and casts. Remove some redundancy in comments & constexpr variables. Specifically, all references to Randen algorithm parameters use RandenTraits; duplication in RandenSlow removed. PiperOrigin-RevId: 312190313 -- dc8b42e054046741e9ed65335bfdface997c6063 by Abseil Team <absl-team@google.com>: Internal change. PiperOrigin-RevId: 312167304 -- f13d248fafaf206492c1362c3574031aea3abaf7 by Matthew Brown <matthewbr@google.com>: Cleanup StrFormat extensions a little. PiperOrigin-RevId: 312166336 -- 9d9117589667afe2332bb7ad42bc967ca7c54502 by Derek Mauro <dmauro@google.com>: Internal change PiperOrigin-RevId: 312105213 -- 9a12b9b3aa0e59b8ee6cf9408ed0029045543a9b by Abseil Team <absl-team@google.com>: Complete IGNORE_TYPE macro renaming. PiperOrigin-RevId: 311999699 -- 64756f20d61021d999bd0d4c15e9ad3857382f57 by Gennadiy Rozental <rogeeff@google.com>: Switch to fixed bytes specific default value. This fixes the Abseil Flags for big endian platforms. PiperOrigin-RevId: 311844448 -- bdbe6b5b29791dbc3816ada1828458b3010ff1e9 by Laramie Leavitt <lar@google.com>: Change many distribution tests to use pcg_engine as a deterministic source of entropy. It's reasonable to test that the BitGen itself has good entropy, however when testing the cross product of all random distributions x all the architecture variations x all submitted changes results in a large number of tests. In order to account for these failures while still using good entropy requires that our allowed sigma need to account for all of these independent tests. Our current sigma values are too restrictive, and we see a lot of failures, so we have to either relax the sigma values or convert some of the statistical tests to use deterministic values. This changelist does the latter. PiperOrigin-RevId: 311840096 GitOrigin-RevId: f012012ef78234a6a4585321b67d7b7c92ebc266 Change-Id: Ic84886f38ff30d7d72c126e9b63c9a61eb729a1a
5 years ago
using ::testing::Pair;
using ::testing::SizeIs;
Export of internal Abseil changes -- f012012ef78234a6a4585321b67d7b7c92ebc266 by Laramie Leavitt <lar@google.com>: Slight restructuring of absl/random/internal randen implementation. Convert round-keys.inc into randen_round_keys.cc file. Consistently use a 128-bit pointer type for internal method parameters. This allows simpler pointer arithmetic in C++ & permits removal of some constants and casts. Remove some redundancy in comments & constexpr variables. Specifically, all references to Randen algorithm parameters use RandenTraits; duplication in RandenSlow removed. PiperOrigin-RevId: 312190313 -- dc8b42e054046741e9ed65335bfdface997c6063 by Abseil Team <absl-team@google.com>: Internal change. PiperOrigin-RevId: 312167304 -- f13d248fafaf206492c1362c3574031aea3abaf7 by Matthew Brown <matthewbr@google.com>: Cleanup StrFormat extensions a little. PiperOrigin-RevId: 312166336 -- 9d9117589667afe2332bb7ad42bc967ca7c54502 by Derek Mauro <dmauro@google.com>: Internal change PiperOrigin-RevId: 312105213 -- 9a12b9b3aa0e59b8ee6cf9408ed0029045543a9b by Abseil Team <absl-team@google.com>: Complete IGNORE_TYPE macro renaming. PiperOrigin-RevId: 311999699 -- 64756f20d61021d999bd0d4c15e9ad3857382f57 by Gennadiy Rozental <rogeeff@google.com>: Switch to fixed bytes specific default value. This fixes the Abseil Flags for big endian platforms. PiperOrigin-RevId: 311844448 -- bdbe6b5b29791dbc3816ada1828458b3010ff1e9 by Laramie Leavitt <lar@google.com>: Change many distribution tests to use pcg_engine as a deterministic source of entropy. It's reasonable to test that the BitGen itself has good entropy, however when testing the cross product of all random distributions x all the architecture variations x all submitted changes results in a large number of tests. In order to account for these failures while still using good entropy requires that our allowed sigma need to account for all of these independent tests. Our current sigma values are too restrictive, and we see a lot of failures, so we have to either relax the sigma values or convert some of the statistical tests to use deterministic values. This changelist does the latter. PiperOrigin-RevId: 311840096 GitOrigin-RevId: f012012ef78234a6a4585321b67d7b7c92ebc266 Change-Id: Ic84886f38ff30d7d72c126e9b63c9a61eb729a1a
5 years ago
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 &other)
: tree_(other.tree_), const_tree_(tree_), checker_(other.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 &v) {
typename KeyOfValue<typename TreeType::key_type,
typename TreeType::value_type>::type key_of_value;
const key_type &key = key_of_value(v);
CheckPairEquals(*find(key), v);
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 &other) {
tree_ = other.tree_;
checker_ = other.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;
}
}
const auto checker_ret = checker_.erase(checker_begin, checker_end);
const auto tree_ret = tree_.erase(begin, end);
EXPECT_EQ(std::distance(checker_.begin(), checker_ret),
std::distance(tree_.begin(), tree_ret));
EXPECT_EQ(tree_.size(), checker_.size());
EXPECT_EQ(tree_.size(), size - count);
}
void clear() {
tree_.clear();
checker_.clear();
}
void swap(base_checker &other) {
tree_.swap(other.tree_);
checker_.swap(other.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 &other) : super_type(other) {}
template <class InputIterator>
unique_checker(InputIterator b, InputIterator e) : super_type(b, e) {}
unique_checker &operator=(const unique_checker &) = default;
// Insertion routines.
std::pair<iterator, bool> insert(const value_type &v) {
int size = this->tree_.size();
std::pair<typename CheckerType::iterator, bool> checker_res =
this->checker_.insert(v);
std::pair<iterator, bool> tree_res = this->tree_.insert(v);
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 &v) {
int size = this->tree_.size();
std::pair<typename CheckerType::iterator, bool> checker_res =
this->checker_.insert(v);
iterator tree_res = this->tree_.insert(position, v);
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 &other) : super_type(other) {}
template <class InputIterator>
multi_checker(InputIterator b, InputIterator e) : super_type(b, e) {}
multi_checker &operator=(const multi_checker &) = default;
// Insertion routines.
iterator insert(const value_type &v) {
int size = this->tree_.size();
auto checker_res = this->checker_.insert(v);
iterator tree_res = this->tree_.insert(v);
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 &v) {
int size = this->tree_.size();
auto checker_res = this->checker_.insert(v);
iterator tree_res = this->tree_.insert(position, v);
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_cord) { SetTest<absl::Cord>(); }
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_cord) { MapTest<absl::Cord>(); }
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_cord) { MultiSetTest<absl::Cord>(); }
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_cord) { MultiMapTest<absl::Cord>(); }
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());
}
} // 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 btree.
template <typename Btree>
constexpr static size_t GetNumValuesPerNode() {
return btree_node<typename Btree::params_type>::kNodeValues;
}
template <typename Btree>
constexpr static size_t GetMaxFieldType() {
return std::numeric_limits<
typename btree_node<typename Btree::params_type>::field_type>::max();
}
template <typename Btree>
constexpr static bool UsesLinearNodeSearch() {
return btree_node<typename Btree::params_type>::use_linear_search::value;
}
};
namespace {
Export of internal Abseil changes -- 017c3924d21132085bc20c9be0ae469bfbf2c56c by Gennadiy Rozental <rogeeff@google.com>: Import of CCTZ from GitHub. PiperOrigin-RevId: 338723934 -- 8b08c23d7b05232e283b1388cee3eb5bebc2d9c4 by Derek Mauro <dmauro@google.com>: Add script to test GCC floor (the minimum version of GCC we support, currently the GCC 5 series) PiperOrigin-RevId: 338708581 -- afa440ac7c843126b4f99b89ebc071dda1d85a4d by Abseil Team <absl-team@google.com>: Fix typo in documentation of StatusOr::value_or() ('of' -> 'if'). PiperOrigin-RevId: 338690089 -- 97d5008865327fc36b942b96de0d0cacfb909df5 by Derek Mauro <dmauro@google.com>: Import of CCTZ from GitHub. PiperOrigin-RevId: 338568224 -- da5e09a7fedb3217329465d9206b7cbc6677176b by Abseil Team <absl-team@google.com>: Add `absl_btree_prefer_linear_node_search` Allow keys of `btree_set`, `btree_map`, `btree_multiset`, and `btree_multimap` to opt-in to linear search (instead of binary search). Linear search was used previously for arithmetic types with `key_compare` of `std::greater` or `std::less`. For example, this would be useful for key types that wrap an integer and define their own cheap `operator<()`. ``` class K { public: using absl_btree_prefer_linear_node_search = std::true_type; ... private: friend bool operator<(K a, K b) { return a.k_ < b.k_; } int k_; }; absl::btree_map<K, V> m; // Uses linear search assert((absl::btree_map<K, V>::testonly_uses_linear_node_search())); ``` PiperOrigin-RevId: 338476553 -- c56ead7ce6b0a5ad32e3a42904c686448a69451e by Gennadiy Rozental <rogeeff@google.com>: Import of CCTZ from GitHub. PiperOrigin-RevId: 338419417 GitOrigin-RevId: 017c3924d21132085bc20c9be0ae469bfbf2c56c Change-Id: I1199f3ae917280a3ef20ccc6038abbe34d96ec0b
4 years ago
class BtreeMapTest : public ::testing::Test {
public:
struct Key {};
struct Cmp {
template <typename T>
bool operator()(T, T) const {
return false;
}
};
struct KeyLin {
using absl_btree_prefer_linear_node_search = std::true_type;
};
struct CmpLin : Cmp {
using absl_btree_prefer_linear_node_search = std::true_type;
};
struct KeyBin {
using absl_btree_prefer_linear_node_search = std::false_type;
};
struct CmpBin : Cmp {
using absl_btree_prefer_linear_node_search = std::false_type;
};
template <typename K, typename C>
static bool IsLinear() {
return BtreeNodePeer::UsesLinearNodeSearch<absl::btree_map<K, int, C>>();
}
};
TEST_F(BtreeMapTest, TestLinearSearchPreferredForKeyLinearViaAlias) {
// Test requesting linear search by directly exporting an alias.
EXPECT_FALSE((IsLinear<Key, Cmp>()));
EXPECT_TRUE((IsLinear<KeyLin, Cmp>()));
EXPECT_TRUE((IsLinear<Key, CmpLin>()));
EXPECT_TRUE((IsLinear<KeyLin, CmpLin>()));
}
TEST_F(BtreeMapTest, LinearChoiceTree) {
// Cmp has precedence, and is forcing binary
EXPECT_FALSE((IsLinear<Key, CmpBin>()));
EXPECT_FALSE((IsLinear<KeyLin, CmpBin>()));
EXPECT_FALSE((IsLinear<KeyBin, CmpBin>()));
EXPECT_FALSE((IsLinear<int, CmpBin>()));
EXPECT_FALSE((IsLinear<std::string, CmpBin>()));
// Cmp has precedence, and is forcing linear
EXPECT_TRUE((IsLinear<Key, CmpLin>()));
EXPECT_TRUE((IsLinear<KeyLin, CmpLin>()));
EXPECT_TRUE((IsLinear<KeyBin, CmpLin>()));
EXPECT_TRUE((IsLinear<int, CmpLin>()));
EXPECT_TRUE((IsLinear<std::string, CmpLin>()));
// Cmp has no preference, Key determines linear vs binary.
EXPECT_FALSE((IsLinear<Key, Cmp>()));
EXPECT_TRUE((IsLinear<KeyLin, Cmp>()));
EXPECT_FALSE((IsLinear<KeyBin, Cmp>()));
// arithmetic key w/ std::less or std::greater: linear
EXPECT_TRUE((IsLinear<int, std::less<int>>()));
EXPECT_TRUE((IsLinear<double, std::greater<double>>()));
// arithmetic key w/ custom compare: binary
EXPECT_FALSE((IsLinear<int, Cmp>()));
// non-arithmetic key: binary
EXPECT_FALSE((IsLinear<std::string, std::less<std::string>>()));
}
Export of internal Abseil changes -- f012012ef78234a6a4585321b67d7b7c92ebc266 by Laramie Leavitt <lar@google.com>: Slight restructuring of absl/random/internal randen implementation. Convert round-keys.inc into randen_round_keys.cc file. Consistently use a 128-bit pointer type for internal method parameters. This allows simpler pointer arithmetic in C++ & permits removal of some constants and casts. Remove some redundancy in comments & constexpr variables. Specifically, all references to Randen algorithm parameters use RandenTraits; duplication in RandenSlow removed. PiperOrigin-RevId: 312190313 -- dc8b42e054046741e9ed65335bfdface997c6063 by Abseil Team <absl-team@google.com>: Internal change. PiperOrigin-RevId: 312167304 -- f13d248fafaf206492c1362c3574031aea3abaf7 by Matthew Brown <matthewbr@google.com>: Cleanup StrFormat extensions a little. PiperOrigin-RevId: 312166336 -- 9d9117589667afe2332bb7ad42bc967ca7c54502 by Derek Mauro <dmauro@google.com>: Internal change PiperOrigin-RevId: 312105213 -- 9a12b9b3aa0e59b8ee6cf9408ed0029045543a9b by Abseil Team <absl-team@google.com>: Complete IGNORE_TYPE macro renaming. PiperOrigin-RevId: 311999699 -- 64756f20d61021d999bd0d4c15e9ad3857382f57 by Gennadiy Rozental <rogeeff@google.com>: Switch to fixed bytes specific default value. This fixes the Abseil Flags for big endian platforms. PiperOrigin-RevId: 311844448 -- bdbe6b5b29791dbc3816ada1828458b3010ff1e9 by Laramie Leavitt <lar@google.com>: Change many distribution tests to use pcg_engine as a deterministic source of entropy. It's reasonable to test that the BitGen itself has good entropy, however when testing the cross product of all random distributions x all the architecture variations x all submitted changes results in a large number of tests. In order to account for these failures while still using good entropy requires that our allowed sigma need to account for all of these independent tests. Our current sigma values are too restrictive, and we see a lot of failures, so we have to either relax the sigma values or convert some of the statistical tests to use deterministic values. This changelist does the latter. PiperOrigin-RevId: 311840096 GitOrigin-RevId: f012012ef78234a6a4585321b67d7b7c92ebc266 Change-Id: Ic84886f38ff30d7d72c126e9b63c9a61eb729a1a
5 years ago
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>();
AssertKeyCompareToAdapted<std::less<absl::Cord>, absl::Cord>();
AssertKeyCompareToAdapted<std::greater<absl::Cord>, absl::Cord>();
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);
}
// 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);
#ifdef ABSL_HAVE_EXCEPTIONS
EXPECT_THROW(map.at(3), std::out_of_range);
#else
EXPECT_DEATH_IF_SUPPORTED(map.at(3), "absl::btree_map::at");
#endif
}
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);
}
template <typename Set>
void TestExtractWithTrackingForSet() {
InstanceTracker tracker;
{
Set s;
// Add enough elements to make sure we test internal nodes too.
const size_t kSize = 1000;
while (s.size() < kSize) {
s.insert(MovableOnlyInstance(s.size()));
}
for (int i = 0; i < kSize; ++i) {
// Extract with key
auto nh = s.extract(MovableOnlyInstance(i));
EXPECT_EQ(s.size(), kSize - 1);
EXPECT_EQ(nh.value().value(), i);
// Insert with node
s.insert(std::move(nh));
EXPECT_EQ(s.size(), kSize);
// Extract with iterator
auto it = s.find(MovableOnlyInstance(i));
nh = s.extract(it);
EXPECT_EQ(s.size(), kSize - 1);
EXPECT_EQ(nh.value().value(), i);
// Insert with node and hint
s.insert(s.begin(), std::move(nh));
EXPECT_EQ(s.size(), kSize);
}
}
EXPECT_EQ(0, tracker.instances());
}
template <typename Map>
void TestExtractWithTrackingForMap() {
InstanceTracker tracker;
{
Map m;
// Add enough elements to make sure we test internal nodes too.
const size_t kSize = 1000;
while (m.size() < kSize) {
m.insert(
{CopyableMovableInstance(m.size()), MovableOnlyInstance(m.size())});
}
for (int i = 0; i < kSize; ++i) {
// Extract with key
auto nh = m.extract(CopyableMovableInstance(i));
EXPECT_EQ(m.size(), kSize - 1);
EXPECT_EQ(nh.key().value(), i);
EXPECT_EQ(nh.mapped().value(), i);
// Insert with node
m.insert(std::move(nh));
EXPECT_EQ(m.size(), kSize);
// Extract with iterator
auto it = m.find(CopyableMovableInstance(i));
nh = m.extract(it);
EXPECT_EQ(m.size(), kSize - 1);
EXPECT_EQ(nh.key().value(), i);
EXPECT_EQ(nh.mapped().value(), i);
// Insert with node and hint
m.insert(m.begin(), std::move(nh));
EXPECT_EQ(m.size(), kSize);
}
}
EXPECT_EQ(0, tracker.instances());
}
TEST(Btree, ExtractTracking) {
TestExtractWithTrackingForSet<absl::btree_set<MovableOnlyInstance>>();
TestExtractWithTrackingForSet<absl::btree_multiset<MovableOnlyInstance>>();
TestExtractWithTrackingForMap<
absl::btree_map<CopyableMovableInstance, MovableOnlyInstance>>();
TestExtractWithTrackingForMap<
absl::btree_multimap<CopyableMovableInstance, MovableOnlyInstance>>();
}
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)));
}
TEST(Btree, MergeIntoSetMovableOnly) {
absl::btree_set<MovableOnlyInstance> src;
src.insert(MovableOnlyInstance(1));
absl::btree_multiset<MovableOnlyInstance> dst1;
dst1.insert(MovableOnlyInstance(2));
absl::btree_set<MovableOnlyInstance> dst2;
// Test merge into multiset.
dst1.merge(src);
EXPECT_TRUE(src.empty());
// ElementsAre/ElementsAreArray don't work with move-only types.
ASSERT_THAT(dst1, SizeIs(2));
EXPECT_EQ(*dst1.begin(), MovableOnlyInstance(1));
EXPECT_EQ(*std::next(dst1.begin()), MovableOnlyInstance(2));
// Test merge into set.
dst2.merge(dst1);
EXPECT_TRUE(dst1.empty());
ASSERT_THAT(dst2, SizeIs(2));
EXPECT_EQ(*dst2.begin(), MovableOnlyInstance(1));
EXPECT_EQ(*std::next(dst2.begin()), MovableOnlyInstance(2));
}
Export of internal Abseil changes -- f012012ef78234a6a4585321b67d7b7c92ebc266 by Laramie Leavitt <lar@google.com>: Slight restructuring of absl/random/internal randen implementation. Convert round-keys.inc into randen_round_keys.cc file. Consistently use a 128-bit pointer type for internal method parameters. This allows simpler pointer arithmetic in C++ & permits removal of some constants and casts. Remove some redundancy in comments & constexpr variables. Specifically, all references to Randen algorithm parameters use RandenTraits; duplication in RandenSlow removed. PiperOrigin-RevId: 312190313 -- dc8b42e054046741e9ed65335bfdface997c6063 by Abseil Team <absl-team@google.com>: Internal change. PiperOrigin-RevId: 312167304 -- f13d248fafaf206492c1362c3574031aea3abaf7 by Matthew Brown <matthewbr@google.com>: Cleanup StrFormat extensions a little. PiperOrigin-RevId: 312166336 -- 9d9117589667afe2332bb7ad42bc967ca7c54502 by Derek Mauro <dmauro@google.com>: Internal change PiperOrigin-RevId: 312105213 -- 9a12b9b3aa0e59b8ee6cf9408ed0029045543a9b by Abseil Team <absl-team@google.com>: Complete IGNORE_TYPE macro renaming. PiperOrigin-RevId: 311999699 -- 64756f20d61021d999bd0d4c15e9ad3857382f57 by Gennadiy Rozental <rogeeff@google.com>: Switch to fixed bytes specific default value. This fixes the Abseil Flags for big endian platforms. PiperOrigin-RevId: 311844448 -- bdbe6b5b29791dbc3816ada1828458b3010ff1e9 by Laramie Leavitt <lar@google.com>: Change many distribution tests to use pcg_engine as a deterministic source of entropy. It's reasonable to test that the BitGen itself has good entropy, however when testing the cross product of all random distributions x all the architecture variations x all submitted changes results in a large number of tests. In order to account for these failures while still using good entropy requires that our allowed sigma need to account for all of these independent tests. Our current sigma values are too restrictive, and we see a lot of failures, so we have to either relax the sigma values or convert some of the statistical tests to use deterministic values. This changelist does the latter. PiperOrigin-RevId: 311840096 GitOrigin-RevId: f012012ef78234a6a4585321b67d7b7c92ebc266 Change-Id: Ic84886f38ff30d7d72c126e9b63c9a61eb729a1a
5 years ago
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 string from the literal.
m.try_emplace(1, "one");
EXPECT_EQ(1, m.size());
// Try other 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);
}
}
TEST(Btree, EmptyTree) {
absl::btree_set<int> s;
EXPECT_TRUE(s.empty());
EXPECT_EQ(s.size(), 0);
EXPECT_GT(s.max_size(), 0);
}
bool IsEven(int k) { return k % 2 == 0; }
TEST(Btree, EraseIf) {
// Test that erase_if works with all the container types and supports lambdas.
{
absl::btree_set<int> s = {1, 3, 5, 6, 100};
erase_if(s, [](int k) { return k > 3; });
EXPECT_THAT(s, ElementsAre(1, 3));
}
{
absl::btree_multiset<int> s = {1, 3, 3, 5, 6, 6, 100};
erase_if(s, [](int k) { return k <= 3; });
EXPECT_THAT(s, ElementsAre(5, 6, 6, 100));
}
{
absl::btree_map<int, int> m = {{1, 1}, {3, 3}, {6, 6}, {100, 100}};
erase_if(m, [](std::pair<const int, int> kv) { return kv.first > 3; });
EXPECT_THAT(m, ElementsAre(Pair(1, 1), Pair(3, 3)));
}
{
absl::btree_multimap<int, int> m = {{1, 1}, {3, 3}, {3, 6},
{6, 6}, {6, 7}, {100, 6}};
erase_if(m, [](std::pair<const int, int> kv) { return kv.second == 6; });
EXPECT_THAT(m, ElementsAre(Pair(1, 1), Pair(3, 3), Pair(6, 7)));
}
// Test that erasing all elements from a large set works and test support for
// function pointers.
{
absl::btree_set<int> s;
for (int i = 0; i < 1000; ++i) s.insert(2 * i);
erase_if(s, IsEven);
EXPECT_THAT(s, IsEmpty());
}
// Test that erase_if supports other format of function pointers.
{
absl::btree_set<int> s = {1, 3, 5, 6, 100};
erase_if(s, &IsEven);
EXPECT_THAT(s, ElementsAre(1, 3, 5));
}
}
TEST(Btree, InsertOrAssign) {
absl::btree_map<int, int> m = {{1, 1}, {3, 3}};
using value_type = typename decltype(m)::value_type;
auto ret = m.insert_or_assign(4, 4);
EXPECT_EQ(*ret.first, value_type(4, 4));
EXPECT_TRUE(ret.second);
ret = m.insert_or_assign(3, 100);
EXPECT_EQ(*ret.first, value_type(3, 100));
EXPECT_FALSE(ret.second);
auto hint_ret = m.insert_or_assign(ret.first, 3, 200);
EXPECT_EQ(*hint_ret, value_type(3, 200));
hint_ret = m.insert_or_assign(m.find(1), 0, 1);
EXPECT_EQ(*hint_ret, value_type(0, 1));
// Test with bad hint.
hint_ret = m.insert_or_assign(m.end(), -1, 1);
EXPECT_EQ(*hint_ret, value_type(-1, 1));
EXPECT_THAT(m, ElementsAre(Pair(-1, 1), Pair(0, 1), Pair(1, 1), Pair(3, 200),
Pair(4, 4)));
}
TEST(Btree, InsertOrAssignMovableOnly) {
absl::btree_map<int, MovableOnlyInstance> m;
using value_type = typename decltype(m)::value_type;
auto ret = m.insert_or_assign(4, MovableOnlyInstance(4));
EXPECT_EQ(*ret.first, value_type(4, MovableOnlyInstance(4)));
EXPECT_TRUE(ret.second);
ret = m.insert_or_assign(4, MovableOnlyInstance(100));
EXPECT_EQ(*ret.first, value_type(4, MovableOnlyInstance(100)));
EXPECT_FALSE(ret.second);
auto hint_ret = m.insert_or_assign(ret.first, 3, MovableOnlyInstance(200));
EXPECT_EQ(*hint_ret, value_type(3, MovableOnlyInstance(200)));
EXPECT_EQ(m.size(), 2);
}
TEST(Btree, BitfieldArgument) {
union {
int n : 1;
};
n = 0;
absl::btree_map<int, int> m;
m.erase(n);
m.count(n);
m.find(n);
m.contains(n);
m.equal_range(n);
m.insert_or_assign(n, n);
m.insert_or_assign(m.end(), n, n);
m.try_emplace(n);
m.try_emplace(m.end(), n);
m.at(n);
m[n];
}
TEST(Btree, SetRangeConstructorAndInsertSupportExplicitConversionComparable) {
const absl::string_view names[] = {"n1", "n2"};
absl::btree_set<std::string> name_set1{std::begin(names), std::end(names)};
EXPECT_THAT(name_set1, ElementsAreArray(names));
absl::btree_set<std::string> name_set2;
name_set2.insert(std::begin(names), std::end(names));
EXPECT_THAT(name_set2, ElementsAreArray(names));
}
// A type that is explicitly convertible from int and counts constructor calls.
struct ConstructorCounted {
explicit ConstructorCounted(int i) : i(i) { ++constructor_calls; }
bool operator==(int other) const { return i == other; }
int i;
static int constructor_calls;
};
int ConstructorCounted::constructor_calls = 0;
struct ConstructorCountedCompare {
bool operator()(int a, const ConstructorCounted &b) const { return a < b.i; }
bool operator()(const ConstructorCounted &a, int b) const { return a.i < b; }
bool operator()(const ConstructorCounted &a,
const ConstructorCounted &b) const {
return a.i < b.i;
}
using is_transparent = void;
};
TEST(Btree,
SetRangeConstructorAndInsertExplicitConvComparableLimitConstruction) {
const int i[] = {0, 1, 1};
ConstructorCounted::constructor_calls = 0;
absl::btree_set<ConstructorCounted, ConstructorCountedCompare> set{
std::begin(i), std::end(i)};
EXPECT_THAT(set, ElementsAre(0, 1));
EXPECT_EQ(ConstructorCounted::constructor_calls, 2);
set.insert(std::begin(i), std::end(i));
EXPECT_THAT(set, ElementsAre(0, 1));
EXPECT_EQ(ConstructorCounted::constructor_calls, 2);
}
TEST(Btree,
SetRangeConstructorAndInsertSupportExplicitConversionNonComparable) {
const int i[] = {0, 1};
absl::btree_set<std::vector<void *>> s1{std::begin(i), std::end(i)};
EXPECT_THAT(s1, ElementsAre(IsEmpty(), ElementsAre(IsNull())));
absl::btree_set<std::vector<void *>> s2;
s2.insert(std::begin(i), std::end(i));
EXPECT_THAT(s2, ElementsAre(IsEmpty(), ElementsAre(IsNull())));
}
// libstdc++ included with GCC 4.9 has a bug in the std::pair constructors that
// prevents explicit conversions between pair types.
// We only run this test for the libstdc++ from GCC 7 or newer because we can't
// reliably check the libstdc++ version prior to that release.
#if !defined(__GLIBCXX__) || \
(defined(_GLIBCXX_RELEASE) && _GLIBCXX_RELEASE >= 7)
TEST(Btree, MapRangeConstructorAndInsertSupportExplicitConversionComparable) {
const std::pair<absl::string_view, int> names[] = {{"n1", 1}, {"n2", 2}};
absl::btree_map<std::string, int> name_map1{std::begin(names),
std::end(names)};
EXPECT_THAT(name_map1, ElementsAre(Pair("n1", 1), Pair("n2", 2)));
absl::btree_map<std::string, int> name_map2;
name_map2.insert(std::begin(names), std::end(names));
EXPECT_THAT(name_map2, ElementsAre(Pair("n1", 1), Pair("n2", 2)));
}
TEST(Btree,
MapRangeConstructorAndInsertExplicitConvComparableLimitConstruction) {
const std::pair<int, int> i[] = {{0, 1}, {1, 2}, {1, 3}};
ConstructorCounted::constructor_calls = 0;
absl::btree_map<ConstructorCounted, int, ConstructorCountedCompare> map{
std::begin(i), std::end(i)};
EXPECT_THAT(map, ElementsAre(Pair(0, 1), Pair(1, 2)));
EXPECT_EQ(ConstructorCounted::constructor_calls, 2);
map.insert(std::begin(i), std::end(i));
EXPECT_THAT(map, ElementsAre(Pair(0, 1), Pair(1, 2)));
EXPECT_EQ(ConstructorCounted::constructor_calls, 2);
}
TEST(Btree,
MapRangeConstructorAndInsertSupportExplicitConversionNonComparable) {
const std::pair<int, int> i[] = {{0, 1}, {1, 2}};
absl::btree_map<std::vector<void *>, int> m1{std::begin(i), std::end(i)};
EXPECT_THAT(m1,
ElementsAre(Pair(IsEmpty(), 1), Pair(ElementsAre(IsNull()), 2)));
absl::btree_map<std::vector<void *>, int> m2;
m2.insert(std::begin(i), std::end(i));
EXPECT_THAT(m2,
ElementsAre(Pair(IsEmpty(), 1), Pair(ElementsAre(IsNull()), 2)));
}
TEST(Btree, HeterogeneousTryEmplace) {
absl::btree_map<std::string, int> m;
std::string s = "key";
absl::string_view sv = s;
m.try_emplace(sv, 1);
EXPECT_EQ(m[s], 1);
m.try_emplace(m.end(), sv, 2);
EXPECT_EQ(m[s], 1);
}
TEST(Btree, HeterogeneousOperatorMapped) {
absl::btree_map<std::string, int> m;
std::string s = "key";
absl::string_view sv = s;
m[sv] = 1;
EXPECT_EQ(m[s], 1);
m[sv] = 2;
EXPECT_EQ(m[s], 2);
}
TEST(Btree, HeterogeneousInsertOrAssign) {
absl::btree_map<std::string, int> m;
std::string s = "key";
absl::string_view sv = s;
m.insert_or_assign(sv, 1);
EXPECT_EQ(m[s], 1);
m.insert_or_assign(m.end(), sv, 2);
EXPECT_EQ(m[s], 2);
}
#endif
// This test requires std::launder for mutable key access in node handles.
#if defined(__cpp_lib_launder) && __cpp_lib_launder >= 201606
TEST(Btree, NodeHandleMutableKeyAccess) {
{
absl::btree_map<std::string, std::string> map;
map["key1"] = "mapped";
auto nh = map.extract(map.begin());
nh.key().resize(3);
map.insert(std::move(nh));
EXPECT_THAT(map, ElementsAre(Pair("key", "mapped")));
}
// Also for multimap.
{
absl::btree_multimap<std::string, std::string> map;
map.emplace("key1", "mapped");
auto nh = map.extract(map.begin());
nh.key().resize(3);
map.insert(std::move(nh));
EXPECT_THAT(map, ElementsAre(Pair("key", "mapped")));
}
}
#endif
struct MultiKey {
int i1;
int i2;
};
bool operator==(const MultiKey a, const MultiKey b) {
return a.i1 == b.i1 && a.i2 == b.i2;
}
// A heterogeneous comparator that has different equivalence classes for
// different lookup types.
struct MultiKeyComp {
using is_transparent = void;
bool operator()(const MultiKey a, const MultiKey b) const {
if (a.i1 != b.i1) return a.i1 < b.i1;
return a.i2 < b.i2;
}
bool operator()(const int a, const MultiKey b) const { return a < b.i1; }
bool operator()(const MultiKey a, const int b) const { return a.i1 < b; }
};
TEST(Btree, MultiKeyEqualRange) {
absl::btree_set<MultiKey, MultiKeyComp> set;
for (int i = 0; i < 100; ++i) {
for (int j = 0; j < 100; ++j) {
set.insert({i, j});
}
}
for (int i = 0; i < 100; ++i) {
auto equal_range = set.equal_range(i);
EXPECT_EQ(equal_range.first->i1, i);
EXPECT_EQ(equal_range.first->i2, 0);
EXPECT_EQ(std::distance(equal_range.first, equal_range.second), 100) << i;
}
}
TEST(Btree, MultiKeyErase) {
absl::btree_set<MultiKey, MultiKeyComp> set = {
{1, 1}, {2, 1}, {2, 2}, {3, 1}};
EXPECT_EQ(set.erase(2), 2);
EXPECT_THAT(set, ElementsAre(MultiKey{1, 1}, MultiKey{3, 1}));
}
TEST(Btree, MultiKeyCount) {
const absl::btree_set<MultiKey, MultiKeyComp> set = {
{1, 1}, {2, 1}, {2, 2}, {3, 1}};
EXPECT_EQ(set.count(2), 2);
}
Export of internal Abseil changes -- 730bb88bee556aa11fa19aa33e1434cb6fa78985 by Evan Brown <ezb@google.com>: Support missing allocator-related constructors in b-tree. See [reference](https://en.cppreference.com/w/cpp/container/set/set). Also use allocator_traits::select_on_container_copy_construction() to get allocator for copy construction. PiperOrigin-RevId: 339058322 -- b6cc121689ae3e452d1db2d66122cb198d25142b by Derek Mauro <dmauro@google.com>: Fix more sign-compare warnings PiperOrigin-RevId: 339057920 -- 0e2c62da1dcaf6529abab952bdcc96c6de2d9506 by Abseil Team <absl-team@google.com>: Add missing <limits> include PiperOrigin-RevId: 339054753 -- d5a9ec2d1e40fe6359e720942e4955009ee415ec by Derek Mauro <dmauro@google.com>: Stop disabling sign-compare warnings for non-test targets. Our users complain about these. This does not catch issues in header-only libraries (like btree.h) but we may work on those in the future PiperOrigin-RevId: 338967089 -- 0c062c542a4c61ea0f65d25811827c0858e3adde by Abseil Team <absl-team@google.com>: Improve cache-locality for ThreadIdentity and PerThreadSynch. This is a change based on an observation in RPC benchmarks that shows significant cycles being spent in waking up a thread, 99.8% of which was on cache misses. Investigating this a bit more, it turns out to be due to sharing the cache line with the waiter state. To fix this issue, the following changes are introduced: - Reorder fields in PerThreadSync so that it fits in a single cache line The size of this structure was 80 bytes before this change. Note: Manually inspected all booleans to make sure they are not modified by multiple threads concurrently. PiperOrigin-RevId: 338852058 -- a90d6f2b2346385017e32dd8ae1b5ca691a5863f by Derek Mauro <dmauro@google.com>: Delete GCC 4.9 test script. It is no longer supported PiperOrigin-RevId: 338779452 -- 7274008d4757e88869110be9db39d03d911ae2b5 by Abseil Team <absl-team@google.com>: Fix the usage example in which SetFlag should take a pointer. PiperOrigin-RevId: 338744529 GitOrigin-RevId: 730bb88bee556aa11fa19aa33e1434cb6fa78985 Change-Id: Iff99594c4022e60e482a392d334b376c7ae8883e
4 years ago
TEST(Btree, AllocConstructor) {
using Alloc = CountingAllocator<int>;
using Set = absl::btree_set<int, std::less<int>, Alloc>;
int64_t bytes_used = 0;
Alloc alloc(&bytes_used);
Set set(alloc);
set.insert({1, 2, 3});
EXPECT_THAT(set, ElementsAre(1, 2, 3));
EXPECT_GT(bytes_used, set.size() * sizeof(int));
}
TEST(Btree, AllocInitializerListConstructor) {
using Alloc = CountingAllocator<int>;
using Set = absl::btree_set<int, std::less<int>, Alloc>;
int64_t bytes_used = 0;
Alloc alloc(&bytes_used);
Set set({1, 2, 3}, alloc);
EXPECT_THAT(set, ElementsAre(1, 2, 3));
EXPECT_GT(bytes_used, set.size() * sizeof(int));
}
TEST(Btree, AllocRangeConstructor) {
using Alloc = CountingAllocator<int>;
using Set = absl::btree_set<int, std::less<int>, Alloc>;
int64_t bytes_used = 0;
Alloc alloc(&bytes_used);
std::vector<int> v = {1, 2, 3};
Set set(v.begin(), v.end(), alloc);
EXPECT_THAT(set, ElementsAre(1, 2, 3));
EXPECT_GT(bytes_used, set.size() * sizeof(int));
}
TEST(Btree, AllocCopyConstructor) {
using Alloc = CountingAllocator<int>;
using Set = absl::btree_set<int, std::less<int>, Alloc>;
int64_t bytes_used1 = 0;
Alloc alloc1(&bytes_used1);
Set set1(alloc1);
set1.insert({1, 2, 3});
int64_t bytes_used2 = 0;
Alloc alloc2(&bytes_used2);
Set set2(set1, alloc2);
EXPECT_THAT(set1, ElementsAre(1, 2, 3));
EXPECT_THAT(set2, ElementsAre(1, 2, 3));
EXPECT_GT(bytes_used1, set1.size() * sizeof(int));
EXPECT_EQ(bytes_used1, bytes_used2);
}
TEST(Btree, AllocMoveConstructor_SameAlloc) {
using Alloc = CountingAllocator<int>;
using Set = absl::btree_set<int, std::less<int>, Alloc>;
int64_t bytes_used = 0;
Alloc alloc(&bytes_used);
Set set1(alloc);
set1.insert({1, 2, 3});
const int64_t original_bytes_used = bytes_used;
EXPECT_GT(original_bytes_used, set1.size() * sizeof(int));
Set set2(std::move(set1), alloc);
EXPECT_THAT(set2, ElementsAre(1, 2, 3));
EXPECT_EQ(bytes_used, original_bytes_used);
}
TEST(Btree, AllocMoveConstructor_DifferentAlloc) {
using Alloc = CountingAllocator<int>;
using Set = absl::btree_set<int, std::less<int>, Alloc>;
int64_t bytes_used1 = 0;
Alloc alloc1(&bytes_used1);
Set set1(alloc1);
set1.insert({1, 2, 3});
const int64_t original_bytes_used = bytes_used1;
EXPECT_GT(original_bytes_used, set1.size() * sizeof(int));
int64_t bytes_used2 = 0;
Alloc alloc2(&bytes_used2);
Set set2(std::move(set1), alloc2);
EXPECT_THAT(set2, ElementsAre(1, 2, 3));
// We didn't free these bytes allocated by `set1` yet.
EXPECT_EQ(bytes_used1, original_bytes_used);
EXPECT_EQ(bytes_used2, original_bytes_used);
}
Export of internal Abseil changes -- f012012ef78234a6a4585321b67d7b7c92ebc266 by Laramie Leavitt <lar@google.com>: Slight restructuring of absl/random/internal randen implementation. Convert round-keys.inc into randen_round_keys.cc file. Consistently use a 128-bit pointer type for internal method parameters. This allows simpler pointer arithmetic in C++ & permits removal of some constants and casts. Remove some redundancy in comments & constexpr variables. Specifically, all references to Randen algorithm parameters use RandenTraits; duplication in RandenSlow removed. PiperOrigin-RevId: 312190313 -- dc8b42e054046741e9ed65335bfdface997c6063 by Abseil Team <absl-team@google.com>: Internal change. PiperOrigin-RevId: 312167304 -- f13d248fafaf206492c1362c3574031aea3abaf7 by Matthew Brown <matthewbr@google.com>: Cleanup StrFormat extensions a little. PiperOrigin-RevId: 312166336 -- 9d9117589667afe2332bb7ad42bc967ca7c54502 by Derek Mauro <dmauro@google.com>: Internal change PiperOrigin-RevId: 312105213 -- 9a12b9b3aa0e59b8ee6cf9408ed0029045543a9b by Abseil Team <absl-team@google.com>: Complete IGNORE_TYPE macro renaming. PiperOrigin-RevId: 311999699 -- 64756f20d61021d999bd0d4c15e9ad3857382f57 by Gennadiy Rozental <rogeeff@google.com>: Switch to fixed bytes specific default value. This fixes the Abseil Flags for big endian platforms. PiperOrigin-RevId: 311844448 -- bdbe6b5b29791dbc3816ada1828458b3010ff1e9 by Laramie Leavitt <lar@google.com>: Change many distribution tests to use pcg_engine as a deterministic source of entropy. It's reasonable to test that the BitGen itself has good entropy, however when testing the cross product of all random distributions x all the architecture variations x all submitted changes results in a large number of tests. In order to account for these failures while still using good entropy requires that our allowed sigma need to account for all of these independent tests. Our current sigma values are too restrictive, and we see a lot of failures, so we have to either relax the sigma values or convert some of the statistical tests to use deterministic values. This changelist does the latter. PiperOrigin-RevId: 311840096 GitOrigin-RevId: f012012ef78234a6a4585321b67d7b7c92ebc266 Change-Id: Ic84886f38ff30d7d72c126e9b63c9a61eb729a1a
5 years ago
} // namespace
} // namespace container_internal
ABSL_NAMESPACE_END
} // namespace absl