FlatHashMap: remove_if; generic td::table_remove_if
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@ -360,33 +360,31 @@ class FlatHashMapImpl {
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void erase(Iterator it) {
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DCHECK(it != end());
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DCHECK(!is_key_empty(it->key()));
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size_t empty_i = it.it_ - nodes_.begin();
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auto empty_bucket = empty_i;
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DCHECK(0 <= empty_i && empty_i < nodes_.size());
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nodes_[empty_bucket].clear();
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used_nodes_--;
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for (size_t test_i = empty_i + 1;; test_i++) {
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auto test_bucket = test_i;
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if (test_bucket >= nodes_.size()) {
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test_bucket -= nodes_.size();
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erase_node(it.it_);
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}
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if (nodes_[test_bucket].empty()) {
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break;
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template <class F>
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void remove_if(F &&f) {
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auto it = nodes_.begin();
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while (it != nodes_.end() && !it->empty()) {
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++it;
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}
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auto want_i = calc_bucket(nodes_[test_bucket].key());
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if (want_i < empty_i) {
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want_i += nodes_.size();
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}
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if (want_i <= empty_i || want_i > test_i) {
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nodes_[empty_bucket] = std::move(nodes_[test_bucket]);
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empty_i = test_i;
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empty_bucket = test_bucket;
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auto first_empty = it;
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for (; it != nodes_.end();) {
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if (!it->empty() && f(*it)) {
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erase_node(it);
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} else {
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++it;
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}
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}
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for (it = nodes_.begin(); it != first_empty;) {
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if (!it->empty() && f(*it)) {
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erase_node(it);
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} else {
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++it;
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}
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}
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// TODO: resize hashtable is necessary
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}
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private:
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@ -449,8 +447,43 @@ class FlatHashMapImpl {
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bucket = 0;
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}
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}
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void erase_node(NodeIterator it) {
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size_t empty_i = it - nodes_.begin();
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auto empty_bucket = empty_i;
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DCHECK(0 <= empty_i && empty_i < nodes_.size());
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nodes_[empty_bucket].clear();
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used_nodes_--;
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for (size_t test_i = empty_i + 1;; test_i++) {
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auto test_bucket = test_i;
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if (test_bucket >= nodes_.size()) {
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test_bucket -= nodes_.size();
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}
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if (nodes_[test_bucket].empty()) {
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break;
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}
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auto want_i = calc_bucket(nodes_[test_bucket].key());
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if (want_i < empty_i) {
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want_i += nodes_.size();
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}
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if (want_i <= empty_i || want_i > test_i) {
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nodes_[empty_bucket] = std::move(nodes_[test_bucket]);
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empty_i = test_i;
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empty_bucket = test_bucket;
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}
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}
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}
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};
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template <class K, class V, class H, class FuncT>
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void table_remove_if(FlatHashMapImpl<K, V, H> &table, FuncT &&func) {
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table.remove_if(func);
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}
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template <class KeyT, class ValueT, class HashT = std::hash<KeyT>>
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using FlatHashMap = FlatHashMapImpl<KeyT, ValueT, HashT>;
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//using FlatHashMap = std::unordered_map<KeyT, ValueT, HashT>;
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@ -195,4 +195,15 @@ detail::reversion_wrapper<T> reversed(T &iterable) {
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return {iterable};
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}
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template <class TableT, class FuncT>
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void table_remove_if(TableT &table, FuncT &&func) {
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for (auto it = table.begin(); it != table.end();) {
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if (func(*it)) {
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it = table.erase(it);
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} else {
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++it;
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}
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}
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}
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} // namespace td
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@ -9,6 +9,8 @@
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#include "td/utils/tests.h"
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#include <array>
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#include "td/utils/Random.h"
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#include "td/utils/algorithm.h"
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TEST(FlatHashMap, basic) {
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{
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@ -47,3 +49,36 @@ TEST(FlatHashMap, basic) {
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ASSERT_EQ(1u, map.size());
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}
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}
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template <class T>
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auto extract_kv(const T &reference) {
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auto expected = td::transform(reference, [](auto &it) {return std::make_pair(it.first, it.second);});
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std::sort(expected.begin(), expected.end());
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return expected;
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}
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TEST(FlatHashMap, remove_if_basic) {
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td::Random::Xorshift128plus rnd(123);
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for (int test_i = 0; test_i < 1000000; test_i++) {
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std::unordered_map<td::uint64, td::uint64> reference;
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td::FlatHashMap<td::uint64, td::uint64> table;
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LOG_IF(ERROR, test_i % 1000 == 0) << test_i;
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int N = rnd.fast(1, 1000);
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for (int i = 0; i < N; i++) {
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auto key = rnd();
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auto value = i;
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reference[key] = value;
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table[key] = value;
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}
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ASSERT_EQ(extract_kv(reference), extract_kv(table));
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std::vector<std::pair<td::uint64, td::uint64>> kv;
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td::table_remove_if(table, [&](auto &it) {kv.emplace_back(it.first, it.second); return it.second % 2 == 0; });
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std::sort(kv.begin(), kv.end());
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ASSERT_EQ(extract_kv(reference), kv);
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td::table_remove_if(reference, [](auto &it) {return it.second % 2 == 0;});
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ASSERT_EQ(extract_kv(reference), extract_kv(table));
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}
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}
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@ -4,6 +4,7 @@
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// Distributed under the Boost Software License, Version 1.0. (See accompanying
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// file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
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//
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#include "td/utils/algorithm.h"
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#include "td/utils/common.h"
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#include "td/utils/FlatHashMap.h"
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#include "td/utils/format.h"
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@ -251,6 +252,43 @@ static void BM_emplace_same(benchmark::State &state) {
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}
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}
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namespace td {
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template <class K, class V, class FunctT>
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void table_remove_if(absl::flat_hash_map<K, V> &table, FunctT &&func) {
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for (auto it = table.begin(); it != table.end();) {
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if (func(*it)) {
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auto copy = it;
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++it;
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table.erase(copy);
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} else {
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++it;
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}
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}
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}
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}
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template <typename TableT>
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static void BM_remove_if(benchmark::State &state) {
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constexpr size_t N = 100000;
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constexpr size_t BATCH_SIZE = N;
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TableT table;
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reserve(table, N);
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while (state.KeepRunningBatch(BATCH_SIZE)) {
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state.PauseTiming();
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td::Random::Xorshift128plus rnd(123);
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for (size_t i = 0; i < N; i++) {
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table.emplace(rnd(), i);
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}
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state.ResumeTiming();
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td::table_remove_if(table, [](auto &it) {
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return it.second % 2 == 0;
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});
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}
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}
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template <typename TableT>
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static void benchmark_create(td::Slice name) {
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td::Random::Xorshift128plus rnd(123);
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@ -296,6 +334,7 @@ static void benchmark_create(td::Slice name) {
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//BENCHMARK(BM_Get<NoOpTable<td::uint64, td::uint64>>)->Range(1, 1 << 26);
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#define REGISTER_GET_BENCHMARK(HT) BENCHMARK(BM_Get<HT<td::uint64, td::uint64>>)->Range(1, 1 << 23);
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#define REGISTER_REMOVE_IF_BENCHMARK(HT) BENCHMARK(BM_remove_if<HT<td::uint64, td::uint64>>);
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#define REGISTER_FIND_BENCHMARK(HT) \
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BENCHMARK(BM_find_same<HT<td::uint64, td::uint64>>) \
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@ -308,12 +347,13 @@ static void benchmark_create(td::Slice name) {
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#define RUN_CREATE_BENCHMARK(HT) benchmark_create<HT<td::uint64, td::uint64>>(#HT);
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FOR_EACH_TABLE(REGISTER_REMOVE_IF_BENCHMARK)
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FOR_EACH_TABLE(REGISTER_FIND_BENCHMARK)
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FOR_EACH_TABLE(REGISTER_EMPLACE_BENCHMARK)
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FOR_EACH_TABLE(REGISTER_GET_BENCHMARK)
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int main(int argc, char **argv) {
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FOR_EACH_TABLE(RUN_CREATE_BENCHMARK);
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// FOR_EACH_TABLE(RUN_CREATE_BENCHMARK);
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benchmark::Initialize(&argc, argv);
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benchmark::RunSpecifiedBenchmarks();
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