tdlight/tdutils/test/HashSet.cpp

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//
// Copyright Aliaksei Levin (levlam@telegram.org), Arseny Smirnov (arseny30@gmail.com) 2014-2022
//
// Distributed under the Boost Software License, Version 1.0. (See accompanying
// file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
//
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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/Random.h"
#include "td/utils/Slice.h"
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#include "td/utils/tests.h"
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#include <algorithm>
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#include <array>
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#include <unordered_map>
#include <utility>
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template <class T>
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static auto extract_kv(const T &reference) {
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());
return expected;
}
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TEST(FlatHashMap, basic) {
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{
td::FlatHashMap<int, int> map;
map[1] = 2;
ASSERT_EQ(2, map[1]);
ASSERT_EQ(1, map.find(1)->first);
ASSERT_EQ(2, map.find(1)->second);
// ASSERT_EQ(1, map.find(1)->key());
// ASSERT_EQ(2, map.find(1)->value());
for (auto &kv : map) {
ASSERT_EQ(1, kv.first);
ASSERT_EQ(2, kv.second);
}
map.erase(map.find(1));
auto map_copy = map;
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}
td::FlatHashMap<int, std::array<td::unique_ptr<td::string>, 10>> x;
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auto y = std::move(x);
x[12];
x.erase(x.find(12));
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{
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td::FlatHashMap<int, td::string> map = {{1, "hello"}, {2, "world"}};
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ASSERT_EQ("hello", map[1]);
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ASSERT_EQ("world", map[2]);
ASSERT_EQ(2u, map.size());
ASSERT_EQ("", map[3]);
ASSERT_EQ(3u, map.size());
}
{
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td::FlatHashMap<int, td::string> map = {{1, "hello"}, {1, "world"}};
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ASSERT_EQ("world", map[1]);
ASSERT_EQ(1u, map.size());
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}
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using KV = td::FlatHashMapImpl<td::string, td::string>;
using Data = td::vector<std::pair<td::string, td::string>>;
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auto data = Data{{"a", "b"}, {"c", "d"}};
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{ ASSERT_EQ(Data{}, extract_kv(KV())); }
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{
KV kv(data.begin(), data.end());
ASSERT_EQ(data, extract_kv(kv));
KV copied_kv(kv);
ASSERT_EQ(data, extract_kv(copied_kv));
KV moved_kv(std::move(kv));
ASSERT_EQ(data, extract_kv(moved_kv));
ASSERT_EQ(Data{}, extract_kv(kv));
ASSERT_TRUE(kv.empty());
kv = std::move(moved_kv);
ASSERT_EQ(data, extract_kv(kv));
KV assign_copied_kv;
assign_copied_kv = kv;
ASSERT_EQ(data, extract_kv(assign_copied_kv));
KV assign_moved_kv;
assign_moved_kv = std::move(kv);
ASSERT_EQ(data, extract_kv(assign_moved_kv));
ASSERT_EQ(Data{}, extract_kv(kv));
ASSERT_TRUE(kv.empty());
kv = std::move(assign_moved_kv);
KV it_copy_kv(kv.begin(), kv.end());
ASSERT_EQ(data, extract_kv(it_copy_kv));
}
{
KV kv;
ASSERT_TRUE(kv.empty());
ASSERT_EQ(0u, kv.size());
kv = KV(data.begin(), data.end());
ASSERT_TRUE(!kv.empty());
ASSERT_EQ(2u, kv.size());
ASSERT_EQ("a", kv.find("a")->first);
ASSERT_EQ("b", kv.find("a")->second);
ASSERT_EQ("a", kv.find("a")->key());
ASSERT_EQ("b", kv.find("a")->value());
kv.find("a")->second = "c";
ASSERT_EQ("c", kv.find("a")->second);
ASSERT_EQ("c", kv["a"]);
ASSERT_EQ(0u, kv.count("x"));
ASSERT_EQ(1u, kv.count("a"));
}
{
KV kv;
kv["d"];
ASSERT_EQ((Data{{"d", ""}}), extract_kv(kv));
kv.erase(kv.find("d"));
ASSERT_EQ(Data{}, extract_kv(kv));
}
}
TEST(FlatHashMap, remove_if_basic) {
td::Random::Xorshift128plus rnd(123);
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constexpr int TESTS_N = 10000;
constexpr int MAX_TABLE_SIZE = 1000;
for (int test_i = 0; test_i < TESTS_N; test_i++) {
std::unordered_map<td::uint64, td::uint64> reference;
td::FlatHashMap<td::uint64, td::uint64> table;
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int N = rnd.fast(1, MAX_TABLE_SIZE);
for (int i = 0; i < N; i++) {
auto key = rnd();
auto value = i;
reference[key] = value;
table[key] = value;
}
ASSERT_EQ(extract_kv(reference), extract_kv(table));
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td::vector<std::pair<td::uint64, td::uint64>> kv;
td::table_remove_if(table, [&](auto &it) {
kv.emplace_back(it.first, it.second);
return it.second % 2 == 0;
});
std::sort(kv.begin(), kv.end());
ASSERT_EQ(extract_kv(reference), kv);
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td::table_remove_if(reference, [](auto &it) { return it.second % 2 == 0; });
ASSERT_EQ(extract_kv(reference), extract_kv(table));
}
}
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TEST(FlatHashMap, stress_test) {
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td::vector<td::RandomSteps::Step> steps;
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auto add_step = [&steps](td::Slice, td::uint32 weight, auto f) {
steps.emplace_back(td::RandomSteps::Step{std::move(f), weight});
};
td::Random::Xorshift128plus rnd(123);
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size_t max_table_size = 1000; // dynamic value
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std::unordered_map<td::uint64, td::uint64> ref;
td::FlatHashMapImpl<td::uint64, td::uint64> tbl;
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auto validate = [&] {
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ASSERT_EQ(ref.empty(), tbl.empty());
ASSERT_EQ(ref.size(), tbl.size());
ASSERT_EQ(extract_kv(ref), extract_kv(tbl));
for (auto &kv : ref) {
ASSERT_EQ(ref[kv.first], tbl[kv.first]);
}
};
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auto gen_key = [&] {
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auto key = rnd() % 4000 + 1;
return key;
};
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add_step("Reset hash table", 1, [&] {
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validate();
td::reset_to_empty(ref);
td::reset_to_empty(tbl);
max_table_size = rnd.fast(1, 1000);
});
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add_step("Clear hash table", 1, [&] {
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validate();
ref.clear();
tbl.clear();
max_table_size = rnd.fast(1, 1000);
});
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add_step("Insert random value", 1000, [&] {
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if (tbl.size() > max_table_size) {
return;
}
auto key = gen_key();
auto value = rnd();
ref[key] = value;
tbl[key] = value;
ASSERT_EQ(ref[key], tbl[key]);
});
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add_step("Emplace random value", 1000, [&] {
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if (tbl.size() > max_table_size) {
return;
}
auto key = gen_key();
auto value = rnd();
auto ref_it = ref.emplace(key, value);
auto tbl_it = tbl.emplace(key, value);
ASSERT_EQ(ref_it.second, tbl_it.second);
ASSERT_EQ(key, tbl_it.first->first);
});
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add_step("empty operator[]", 1000, [&] {
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if (tbl.size() > max_table_size) {
return;
}
auto key = gen_key();
ASSERT_EQ(ref[key], tbl[key]);
});
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add_step("reserve", 10, [&] { tbl.reserve(rnd() % max_table_size); });
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add_step("find", 1000, [&] {
auto key = gen_key();
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auto ref_it = ref.find(key);
auto tbl_it = tbl.find(key);
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ASSERT_EQ(ref_it == ref.end(), tbl_it == tbl.end());
if (ref_it != ref.end()) {
ASSERT_EQ(ref_it->first, tbl_it->first);
ASSERT_EQ(ref_it->second, tbl_it->second);
}
});
add_step("find_and_erase", 100, [&] {
auto key = gen_key();
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auto ref_it = ref.find(key);
auto tbl_it = tbl.find(key);
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ASSERT_EQ(ref_it == ref.end(), tbl_it == tbl.end());
if (ref_it != ref.end()) {
ref.erase(ref_it);
tbl.erase(tbl_it);
}
});
add_step("remove_if", 5, [&] {
auto mul = rnd();
auto bit = rnd() % 64;
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auto condition = [&](auto &it) {
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return (((it.second * mul) >> bit) & 1) == 0;
};
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td::table_remove_if(tbl, condition);
td::table_remove_if(ref, condition);
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});
td::RandomSteps runner(std::move(steps));
for (size_t i = 0; i < 10000000; i++) {
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runner.step(rnd);
}
}