Compare commits

...
Author SHA1 Message Date
joaquintides 8149197fa8 replaced our spinlock with tbb's 2023-06-12 19:27:39 +02:00
joaquintides c2484f05f0 avoided old GCC/Clang hiccup with {} for aggregate copy construction 2023-06-09 21:31:30 +02:00
joaquintides f7e2132bdb Merge branch 'feature/cfoa' of https://github.com/boostorg/unordered into feature/cfoa 2023-06-09 21:20:36 +02:00
joaquintidesandChristian Mazakas 07a8b2b14d stylistic 2023-06-09 08:55:25 -07:00
joaquintidesandChristian Mazakas 2eac49f0ed added copy ctor for cache_aligned_size_control 2023-06-09 08:55:25 -07:00
joaquintidesandChristian Mazakas 6a8d7857e2 fixed unqualified swap call 2023-06-09 08:55:25 -07:00
joaquintidesandChristian Mazakas ef34ec5e87 added missing #include 2023-06-09 08:55:25 -07:00
joaquintidesandChristian Mazakas 518a5d2e1e refactored padding into a clean design 2023-06-09 08:55:25 -07:00
joaquintidesandChristian Mazakas 3ea8a768ca added padding between and around ml and size_ 2023-06-09 08:55:25 -07:00
joaquintidesandChristian Mazakas 4b877d363a updated concurrent_flat_map benchmarks 2023-06-09 08:55:25 -07:00
Christian Mazakas 2395db7bb9 Cleanup docs 2023-06-09 08:55:25 -07:00
joaquintides 7327053eea updated concurrent_flat_map benchmarks 2023-06-08 09:34:05 +02:00
Christian Mazakas af19d99b70 Clean up CI to pre-debugging state 2023-06-07 10:05:19 -07:00
joaquintides 64f9370fff implemented cacheline alignment without extended alignas 2023-06-07 11:30:52 +02:00
joaquintides ca193de243 added missing #include 2023-06-07 11:28:00 +02:00
Christian Mazakas 2914925b4d Explicitly disable ccache in GHA runner file 2023-06-06 09:14:00 -07:00
Christian Mazakas bc37851725 Remove usage of ccache from problematic gcc-12 sanitizer actions 2023-06-06 08:51:59 -07:00
Christian Mazakas f89a31849c Fix workaround for cfoa_fwd_tests 2023-06-06 08:27:55 -07:00
Christian Mazakas ec945810eb Remove problematic test from clang-3.7 runner 2023-06-05 15:56:06 -07:00
Christian Mazakas 68ddaba57a Update cfoa's fwd header to be in line with the others 2023-06-05 15:47:41 -07:00
Christian Mazakas c48c2afc56 Add gcc-13 and Ubuntu 23.04 to Drone CI 2023-06-05 14:24:38 -07:00
Christian Mazakas 01a5dd0dd1 Add concurrent_flat_map to link tests for foa 2023-06-05 14:19:18 -07:00
Christian Mazakas 300a8e61bd Add ubsan + asan jobs to gcc-12 2023-06-05 11:16:34 -07:00
joaquintides 1d2be664a0 added boost::concurrent_flat_map benchmarks 2023-06-05 20:08:32 +02:00
Christian Mazakas e6b1ef9e1e Add ubsan gcc-12 runners to drone 2023-06-05 09:32:11 -07:00
Christian Mazakas 4efb55146a Update gcc used for code coverage collection 2023-06-02 15:08:29 -07:00
Christian Mazakas 8877d21237 Replace dependency on SmartPtr with primitives in Core 2023-06-02 14:14:18 -07:00
Christian Mazakas 44c50cd2ea Resolve potential ambiguities during insertion by introducing a member function template 2023-06-01 14:19:14 -07:00
Christian Mazakas e7c1e1a56e Clean up raii count checkers to avoid extraneous assertions 2023-06-01 14:18:54 -07:00
Christian Mazakas 9a22f8fbee Add missing dependency on SmartPtr 2023-05-31 09:14:44 -07:00
Christian Mazakas 51520de04b Add allocator using fancy pointers to insert_tests 2023-05-31 07:30:37 -07:00
Christian Mazakas 6e0f76f4c2 Add missing FindThreads to CML 2023-05-30 14:52:45 -07:00
Christian Mazakas 06aa4b5c19 Cleanup test CML 2023-05-30 13:24:21 -07:00
Christian Mazakas 332540c857 Attempt to fix CMake tests 2023-05-30 12:05:10 -07:00
Christian Mazakas fdedb6c957 Add merge exceptions tests for cfoa 2023-05-30 09:19:50 -07:00
joaquintides 7aaa2e9452 polished BOOST_UNORDERED_PREFETCH[_ELEMENTS] 2023-05-28 19:09:14 +02:00
Christian Mazakas 950e640fcf Update concurrent_table to use macro-based prefetching 2023-05-26 21:06:01 -07:00
Christian Mazakas 7874625c08 Replace prefetch_elements() with macro so builtins aren't optimized away by DSE 2023-05-26 20:56:52 -07:00
Christian Mazakas 2ab4225473 Add workaround for gcc-12 and above where the prefetch call is ignored 2023-05-26 08:16:02 -07:00
Christian Mazakas c5df4ec069 Remove unused test 2023-05-25 08:41:26 -07:00
Christian Mazakas 55d79204be Add exceptions tests for cfoa assign ops 2023-05-24 15:23:09 -07:00
Christian Mazakas f5d5299b88 Flesh out constructor exception tests 2023-05-24 11:06:45 -07:00
joaquintides 253a9bccf6 fixed leak in throwing allocator-extended move ctor 2023-05-24 09:19:31 +02:00
Christian Mazakas 61f11a58ee Push up failing test case for code review purposes 2023-05-23 15:28:14 -07:00
Christian Mazakas e78dc311e3 Clean up erase tests 2023-05-23 08:43:10 -07:00
Christian Mazakas a5748c2e8b Add initial container population to insert iterator range tests 2023-05-22 15:24:36 -07:00
Christian Mazakas 146c5cb6be Clean up exception tests 2023-05-22 14:19:21 -07:00
Christian Mazakas c63a88032d Loosen restrictions on erase exceptions tests to accomodate runs where there are no successful erasures 2023-05-22 12:10:10 -07:00
Christian Mazakas 3ad164267a Update duration of erase operations to trigger successful erasures when only 2 threads are available 2023-05-22 11:37:07 -07:00
Christian Mazakas a9203ed93c Clean up erase_tests 2023-05-22 10:17:36 -07:00
Christian Mazakas 16550ded0c Add exceptional erase tests 2023-05-22 10:17:36 -07:00
joaquintides b4c75abca9 typo 2023-05-22 09:49:00 +02:00
joaquintides a696bdecf6 editorial 2023-05-21 13:10:46 +02:00
joaquintides 8865a940fc editorial 2023-05-21 12:55:23 +02:00
joaquintides 2a28698c8c editorial 2023-05-21 12:43:45 +02:00
joaquintides 96f5983f88 fixed initializer_list insert requirements 2023-05-21 12:39:02 +02:00
joaquintides ddb1148a31 reformulated static member initialization to appease VS2015 2023-05-20 12:16:30 +02:00
Christian Mazakas ffcae204ee Add insert_exception_tests 2023-05-19 12:33:23 -07:00
joaquintides f28527c4d8 removed double separating line 2023-05-19 11:28:08 +02:00
joaquintides 528f7d4b12 title cased some sections 2023-05-19 11:17:56 +02:00
joaquintides a140de4254 typos/editorial 2023-05-19 10:51:00 +02:00
Christian Mazakas f1bc948be8 Update table formatting in intro to use monospaced font 2023-05-18 13:14:58 -07:00
joaquintides 3d640ac032 refactored to modernize and improve flow 2023-05-18 20:18:58 +02:00
Christian Mazakas ff10b287e2 Remove unreliable check from swap_tests 2023-05-17 13:36:56 -07:00
Christian Mazakas 4a416501c8 Fix misuse of ctad macro 2023-05-17 10:14:45 -07:00
Christian Mazakas bf06fa97e3 Add deduction guides 2023-05-17 09:38:29 -07:00
Christian Mazakas fcf6fee0f6 Make usage of forceinline consistent with the underlying concurrent_table 2023-05-16 15:42:47 -07:00
Christian Mazakas 8ddfc8ec7a Update execution policies to accept by forwarding reference 2023-05-16 14:33:41 -07:00
Christian Mazakas 5f249bc681 Add fwd header 2023-05-16 13:31:35 -07:00
Christian Mazakas dbd1a929e6 Remove unnenecessary spinning 2023-05-16 12:34:50 -07:00
Christian Mazakas 32ff2f145e Add initial draft of equality tests 2023-05-16 11:55:56 -07:00
Christian Mazakas 63026fd320 Clean up tests to avoid needless yields and extraneous spurious wakeups 2023-05-16 09:19:43 -07:00
Christian Mazakas 6295c7f0d4 Add free function erase_if() 2023-05-15 13:40:33 -07:00
Christian Mazakas c3879e238d Add free function swap() 2023-05-15 07:54:19 -07:00
joaquintides 9260bff8f8 editorial 2023-05-15 10:20:45 +02:00
joaquintides f48fc70f4b typos/editorial 2023-05-14 11:13:48 +02:00
joaquintides 48f703132e added implementation description for cfoa 2023-05-13 19:29:41 +02:00
joaquintides 69ee0039e0 added implementation rationale for concurrent hashmap 2023-05-13 19:29:08 +02:00
joaquintides add01e2dfd added compliance section for concurrent hashmap 2023-05-13 19:28:43 +02:00
joaquintides 4b4db3dfb3 fixed links 2023-05-13 10:00:35 +02:00
joaquintides 81480feeb4 fixed regression at unprotected_emplace 2023-05-12 12:45:31 +02:00
joaquintides d615a08f76 made operator [==|!=] templated again to accommodate fwd declarations 2023-05-12 12:33:27 +02:00
joaquintides dacc1c8234 made operator[==|!=] non-templated 2023-05-12 11:41:50 +02:00
joaquintides 511e2b3272 refactored to provide equality comparison from table_core 2023-05-12 11:24:20 +02:00
Christian Mazakas bcf5d0cf13 Attempt to disable extraneous runs on CI 2023-05-11 08:39:29 -07:00
Christian Mazakas 80a1904d92 Fix call_count check in rehash_tests 2023-05-11 08:39:16 -07:00
Christian Mazakas 21afc69894 Add initial tests for rehash(), reserve() 2023-05-10 13:22:02 -07:00
Christian Mazakas c90b72a643 Squelch gcc self-move warning for version 13 2023-05-09 14:00:14 -07:00
Christian Mazakas c2c34f96a3 Improve robustness of merge_tests to schedule merges without spurious wakeups and in a wider stride of insertions 2023-05-09 14:00:14 -07:00
joaquintides 69ba1c7c00 editorial 2023-05-09 19:53:56 +02:00
joaquintides ba25041fc8 added tutorial on boost::concurrent_flat_map 2023-05-08 18:37:36 +02:00
joaquintides 02197674f4 prevented VS C4800 warning 2023-05-06 12:44:07 +02:00
Christian Mazakas f0fe62d6ab Add count(), contains() 2023-05-05 15:41:23 -07:00
Christian Mazakas 53328766b9 Return size_type instead of size_t 2023-05-05 15:41:08 -07:00
Christian Mazakas 5b775345ba Clean up concurrent_table's merge impl 2023-05-05 11:47:20 -07:00
Christian Mazakas 99b0868283 Add initial impl of merge() 2023-05-05 10:20:52 -07:00
joaquintides 1c98a4a8f1 changed all titles to Title Casing 2023-05-05 18:56:33 +02:00
joaquintides bf73366117 typo 2023-05-05 17:55:53 +02:00
joaquintides 719394c522 Split important info int separate paragraphs 2023-05-05 17:55:02 +02:00
joaquintides 03fccc1947 refined concurrency requirements and guarantees 2023-05-05 17:37:20 +02:00
joaquintides 814264082f fixed BNF syntax 2023-05-04 19:19:37 +02:00
joaquintides 70e3dc4628 Changed the return type of iterator/initializer_list insert[_or_[c]visit] and merge to size_type 2023-05-04 19:16:39 +02:00
joaquintides b72dbef1a9 added equality comparison to reference 2023-05-04 18:51:03 +02:00
joaquintides 26924c73b9 fixed space reservation in concurrent_table::operator=(std::initializer_list) 2023-05-04 18:09:28 +02:00
Christian Mazakas 23e720a968 Split up Drone jobs even further due to extended runtimes 2023-05-03 15:32:06 -07:00
Christian Mazakas 4fb7751b55 Add missing #include 2023-05-03 11:37:32 -07:00
Christian Mazakas 3c0fb0fa1b Attempt to fix flaky CI 2023-05-03 11:37:32 -07:00
Christian Mazakas 3fe0807ae9 Add test that intermixes insertion and visitation
Attempt to test the happens-before and synchronizes-with relationship, looking for potential bugs on weakly-ordered models
2023-05-03 11:37:32 -07:00
joaquintides dfb4f2a28a added reference for boost::concurrent_flat_map 2023-05-03 17:53:13 +02:00
Christian Mazakas cc4cfc7ef2 Fix bug in swap_test iteration logic that caused early termination of the swap loop 2023-05-02 15:57:16 -07:00
Christian Mazakas a9bf367d6e Test if being the kind of program that calls yield() pays dividends for flaky CI failures 2023-05-02 15:44:21 -07:00
Christian Mazakas 2ea0dbf30e Add impl of member function swap() 2023-05-02 13:44:27 -07:00
Christian Mazakas 40c4d456f3 Clean up for CI 2023-05-01 15:21:25 -07:00
Christian Mazakas 011b7a5969 Add initial impl of clear 2023-05-01 11:58:58 -07:00
Christian Mazakas c52ad849ea Add policy check that excludes unsequenced policies
It's technically UB for the callable in an unsequenced policy to acquire a lock so we add static_assert()s to catch potential user error.
2023-05-01 11:58:58 -07:00
joaquintides 615ce1e9b6 refactored unprotected_rehash_if_full out 2023-04-29 11:35:11 +02:00
Christian Mazakas bee9a3cb1a Split Drone jobs to help with CI timeouts and load 2023-04-28 14:10:58 -07:00
Christian Mazakas 081932221f Attempt to fix flaky assign_tests 2023-04-28 13:42:28 -07:00
Christian Mazakas 135c9586af Add fuzzy test mixing copy-assignment with insertion 2023-04-27 15:23:21 -07:00
Christian Mazakas 187fd3e71e Implement initializer_list assignment 2023-04-27 12:00:42 -07:00
Christian Mazakas 0959df1896 Flesh out move assignment tests 2023-04-27 09:30:49 -07:00
Christian Mazakas 7833a8359d Use Core's allocator access to handle allocator_traits not having uniform support in early C++11 compilers 2023-04-26 13:58:20 -07:00
Christian Mazakas 212c6a1e4d Add prototype of move assignment 2023-04-26 12:54:04 -07:00
Christian Mazakas d7acb7e8b8 Fix capturing in latch_tests 2023-04-26 12:54:04 -07:00
joaquintides 0bc4f2c4b9 refactored foa::concurrent_table::merge internals 2023-04-26 13:39:38 +02:00
Christian Mazakas 2b612ed120 Flesh out assign_tests 2023-04-25 13:14:08 -07:00
Christian Mazakas a7c15e86fc Update num_threads to use the concurrent hint from the stdlib 2023-04-25 12:18:15 -07:00
joaquintides 4c117ab20a made merge blocking 2023-04-25 15:53:18 +02:00
Christian Mazakas e9c6a0fef5 Add polyfill implementation of std::latch 2023-04-24 13:29:35 -07:00
Christian Mazakas ac216a93c8 Add tests back in 2023-04-24 13:29:07 -07:00
joaquintides e49fef5f9a commented out all tests except those for cfoa 2023-04-23 17:27:50 +02:00
104 changed files with 7549 additions and 935 deletions
+128 -22
View File
@@ -6,7 +6,7 @@ local library = "unordered";
local triggers =
{
branch: [ "master", "develop", "feature/*", "bugfix/*", "fix/*", "pr/*" ]
branch: [ "master", "develop", "bugfix/*", "fix/*", "pr/*" ]
};
local ubsan = { UBSAN: '1', UBSAN_OPTIONS: 'print_stacktrace=1' };
@@ -158,16 +158,29 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
linux_pipeline(
"Linux 18.04 GCC 8 32/64",
"Linux 18.04 GCC 8 32/64 (03,11)",
"cppalliance/droneubuntu1804:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-8', CXXSTD: '03,11,14,17', ADDRMD: '32,64' },
{ TOOLSET: 'gcc', COMPILER: 'g++-8', CXXSTD: '03,11', ADDRMD: '32,64' },
"g++-8-multilib",
),
linux_pipeline(
"Linux 20.04 GCC 9* 32/64",
"Linux 18.04 GCC 8 32/64 (14,17)",
"cppalliance/droneubuntu1804:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-8', CXXSTD: '14,17', ADDRMD: '32,64' },
"g++-8-multilib",
),
linux_pipeline(
"Linux 20.04 GCC 9* 32/64 (03,11,14)",
"cppalliance/droneubuntu2004:1",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14,17,2a', ADDRMD: '32,64' },
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14', ADDRMD: '32,64' },
),
linux_pipeline(
"Linux 20.04 GCC 9* 32/64 (17,2a)",
"cppalliance/droneubuntu2004:1",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '17,2a', ADDRMD: '32,64' },
),
linux_pipeline(
@@ -178,36 +191,77 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
linux_pipeline(
"Linux 20.04 GCC 9* S390x",
"Linux 20.04 GCC 9* S390x (03,11,14)",
"cppalliance/droneubuntu2004:multiarch",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14,17,2a' },
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14' },
arch="s390x",
),
linux_pipeline(
"Linux 20.04 GCC 10 32/64",
"Linux 20.04 GCC 9* S390x (17,2a)",
"cppalliance/droneubuntu2004:multiarch",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '17,2a' },
arch="s390x",
),
linux_pipeline(
"Linux 20.04 GCC 10 32/64 (03,11,14)",
"cppalliance/droneubuntu2004:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-10', CXXSTD: '03,11,14,17,20', ADDRMD: '32,64' },
{ TOOLSET: 'gcc', COMPILER: 'g++-10', CXXSTD: '03,11,14', ADDRMD: '32,64' },
"g++-10-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 11* 32/64",
"Linux 20.04 GCC 10 32/64 (17,20)",
"cppalliance/droneubuntu2004:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-10', CXXSTD: '17,20', ADDRMD: '32,64' },
"g++-10-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 11* 32/64 (03,11,14)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14,17,2a', ADDRMD: '32,64' },
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '03,11,14', ADDRMD: '32,64' },
),
linux_pipeline(
"Linux 22.04 GCC 11* 32/64 (17,2a)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++', CXXSTD: '17,2a', ADDRMD: '32,64' },
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (03,11,14)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '03,11,14', ADDRMD: '32' } + asan,
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '03,11', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (17,20,2b)",
"Linux 22.04 GCC 12 32 ASAN (14)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '17,20,2b', ADDRMD: '32' } + asan,
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '14', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (17)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '17', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (20)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '20', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 32 ASAN (2b)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '2b', ADDRMD: '32' } + asan,
"g++-12-multilib",
),
@@ -219,9 +273,23 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
linux_pipeline(
"Linux 22.04 GCC 12 64 ASAN (17,20,2b)",
"Linux 22.04 GCC 12 64 ASAN (17)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '17,20,2b', ADDRMD: '64' } + asan,
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '17', ADDRMD: '64' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 64 ASAN (20)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '20', ADDRMD: '64' } + asan,
"g++-12-multilib",
),
linux_pipeline(
"Linux 22.04 GCC 12 64 ASAN (2b)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-12', CXXSTD: '2b', ADDRMD: '64' } + asan,
"g++-12-multilib",
),
@@ -232,6 +300,20 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
"g++-12-multilib",
),
linux_pipeline(
"Linux 23.04 GCC 13 32/64 (03,11,14)",
"cppalliance/droneubuntu2304:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-13', CXXSTD: '03,11,14', ADDRMD: '32,64' },
"g++-13 g++-13-multilib",
),
linux_pipeline(
"Linux 23.04 GCC 13 32/64 (17,20,2b)",
"cppalliance/droneubuntu2304:1",
{ TOOLSET: 'gcc', COMPILER: 'g++-13', CXXSTD: '17,20,2b', ADDRMD: '32,64' },
"g++-13 g++-13-multilib",
),
linux_pipeline(
"Linux 16.04 Clang 3.5",
"cppalliance/droneubuntu1604:1",
@@ -338,16 +420,30 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
linux_pipeline(
"Linux 22.04 Clang 14 UBSAN",
"Linux 22.04 Clang 14 UBSAN (03,11,14)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '03,11,14,17,20' } + ubsan,
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '03,11,14' } + ubsan,
"clang-14",
),
linux_pipeline(
"Linux 22.04 Clang 14 ASAN",
"Linux 22.04 Clang 14 UBSAN (17,20)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '03,11,14,17,20' } + asan,
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '17,20' } + ubsan,
"clang-14",
),
linux_pipeline(
"Linux 22.04 Clang 14 ASAN (03,11,14)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '03,11,14' } + asan,
"clang-14",
),
linux_pipeline(
"Linux 22.04 Clang 14 ASAN (17,20)",
"cppalliance/droneubuntu2204:1",
{ TOOLSET: 'clang', COMPILER: 'clang++-14', CXXSTD: '17,20' } + asan,
"clang-14",
),
@@ -367,8 +463,18 @@ local windows_pipeline(name, image, environment, arch = "amd64") =
),
macos_pipeline(
"MacOS 10.15 Xcode 12.2 UBSAN",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '03,11,14,1z' } + ubsan,
"MacOS 10.15 Xcode 12.2 UBSAN (03,11)",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '03,11' } + ubsan,
),
macos_pipeline(
"MacOS 10.15 Xcode 12.2 UBSAN (14)",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '14' } + ubsan,
),
macos_pipeline(
"MacOS 10.15 Xcode 12.2 UBSAN (1z)",
{ TOOLSET: 'clang', COMPILER: 'clang++', CXXSTD: '1z' } + ubsan,
),
macos_pipeline(
+1 -2
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@@ -15,7 +15,6 @@ on:
- master
- develop
- bugfix/**
- feature/**
- fix/**
- pr/**
@@ -52,7 +51,7 @@ jobs:
- { name: "gcc-12 w/ sanitizers (17,20,2b)", sanitize: yes,
compiler: gcc-12, cxxstd: '17,20,2b', os: ubuntu-22.04, ccache_key: "san2" }
- { name: Collect coverage, coverage: yes,
compiler: gcc-8, cxxstd: '03,11', os: ubuntu-20.04, install: 'g++-8-multilib', address-model: '32,64', ccache_key: "cov" }
compiler: gcc-12, cxxstd: '03,20', os: ubuntu-22.04, install: 'g++-12-multilib', address-model: '32,64', ccache_key: "cov" }
- { name: "cfoa tsan (gcc)", cxxstd: '11,14,17,20,2b', os: ubuntu-22.04, compiler: gcc-12,
targets: 'libs/unordered/test//cfoa_tests', thread-sanitize: yes }
+1
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@@ -22,6 +22,7 @@ target_link_libraries(boost_unordered
Boost::mp11
Boost::predef
Boost::preprocessor
Boost::static_assert
Boost::throw_exception
Boost::tuple
Boost::type_traits
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+3 -1
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@@ -13,8 +13,10 @@
include::unordered/intro.adoc[]
include::unordered/buckets.adoc[]
include::unordered/hash_equality.adoc[]
include::unordered/comparison.adoc[]
include::unordered/regular.adoc[]
include::unordered/concurrent.adoc[]
include::unordered/compliance.adoc[]
include::unordered/structures.adoc[]
include::unordered/benchmarks.adoc[]
include::unordered/rationale.adoc[]
include::unordered/ref.adoc[]
+260
View File
@@ -431,3 +431,263 @@ h|unsuccessful lookup
|===
== boost::concurrent_flat_map
All benchmarks were created using:
* `https://spec.oneapi.io/versions/latest/elements/oneTBB/source/containers/concurrent_hash_map_cls.html[oneapi::tbb::concurrent_hash_map^]<int, int>`
* `https://github.com/greg7mdp/gtl/blob/main/docs/phmap.md[gtl::parallel_flat_hash_map^]<int, int>` with 64 submaps
* `boost::concurrent_flat_map<int, int>`
The source code can be https://github.com/boostorg/boost_unordered_benchmarks/tree/boost_concurrent_flat_map[found here^].
The benchmarks exercise a number of threads _T_ (between 1 and 16) concurrently performing operations
randomly chosen among **update**, **successful lookup** and **unsuccessful lookup**. The keys used in the
operations follow a https://en.wikipedia.org/wiki/Zipf%27s_law#Formal_definition[Zipf distribution^]
with different _skew_ parameters: the higher the skew, the more concentrated are the keys in the lower values
of the covered range.
=== GCC 12, x64
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x64/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Clang 15, x64
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x64/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Visual Studio 2022, x64
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x64/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Clang 12, ARM64
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-arm64/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== GCC 12, x86
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/gcc-x86/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Clang 15, x86
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/clang-x86/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
=== Visual Studio 2022, x86
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.01.png]
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.5.png]
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.500k%2C%200.99.png]
h|500k updates, 4.5M lookups +
skew=0.01
h|500k updates, 4.5M lookups +
skew=0.5
h|500k updates, 4.5M lookups +
skew=0.99
|===
[caption=]
[cols="3*^.^a", frame=all, grid=all]
|===
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.01.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.01.png]
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.5.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.5.png]
|image::benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.99.png[width=250,window=_blank,link=../diagrams/benchmarks-concurrent_map/vs-x86/Parallel%20workload.xlsx.5M%2C%200.99.png]
h|5M updates, 45M lookups +
skew=0.01
h|5M updates, 45M lookups +
skew=0.5
h|5M updates, 45M lookups +
skew=0.99
|===
+9 -174
View File
@@ -2,9 +2,9 @@
:idprefix: buckets_
:imagesdir: ../diagrams
= The Data Structure
= Basics of Hash Tables
The containers are made up of a number of 'buckets', each of which can contain
The containers are made up of a number of _buckets_, each of which can contain
any number of elements. For example, the following diagram shows a <<unordered_set,`boost::unordered_set`>> with 7 buckets containing 5 elements, `A`,
`B`, `C`, `D` and `E` (this is just for illustration, containers will typically
have more buckets).
@@ -12,8 +12,7 @@ have more buckets).
image::buckets.png[]
In order to decide which bucket to place an element in, the container applies
the hash function, `Hash`, to the element's key (for `unordered_set` and
`unordered_multiset` the key is the whole element, but is referred to as the key
the hash function, `Hash`, to the element's key (for sets the key is the whole element, but is referred to as the key
so that the same terminology can be used for sets and maps). This returns a
value of type `std::size_t`. `std::size_t` has a much greater range of values
then the number of buckets, so the container applies another transformation to
@@ -53,8 +52,7 @@ h|*Method* h|*Description*
|`size_type bucket_count() const`
|The number of buckets.
2+^h| *Closed-addressing containers only* +
`boost::unordered_[multi]set`, `boost::unordered_[multi]map`
2+^h| *Closed-addressing containers only*
h|*Method* h|*Description*
|`size_type max_bucket_count() const`
@@ -80,7 +78,7 @@ h|*Method* h|*Description*
|===
== Controlling the number of buckets
== Controlling the Number of Buckets
As more elements are added to an unordered associative container, the number
of collisions will increase causing performance to degrade.
@@ -90,8 +88,8 @@ calling `rehash`.
The standard leaves a lot of freedom to the implementer to decide how the
number of buckets is chosen, but it does make some requirements based on the
container's 'load factor', the number of elements divided by the number of buckets.
Containers also have a 'maximum load factor' which they should try to keep the
container's _load factor_, the number of elements divided by the number of buckets.
Containers also have a _maximum load factor_ which they should try to keep the
load factor below.
You can't control the bucket count directly but there are two ways to
@@ -133,9 +131,7 @@ h|*Method* h|*Description*
|`void rehash(size_type n)`
|Changes the number of buckets so that there at least `n` buckets, and so that the load factor is less than the maximum load factor.
2+^h| *Open-addressing containers only* +
`boost::unordered_flat_set`, `boost::unordered_flat_map` +
`boost::unordered_node_set`, `boost::unordered_node_map` +
2+^h| *Open-addressing and concurrent containers only*
h|*Method* h|*Description*
|`size_type max_load() const`
@@ -143,7 +139,7 @@ h|*Method* h|*Description*
|===
A note on `max_load` for open-addressing containers: the maximum load will be
A note on `max_load` for open-addressing and concurrent containers: the maximum load will be
(`max_load_factor() * bucket_count()`) right after `rehash` or on container creation, but may
slightly decrease when erasing elements in high-load situations. For instance, if we
have a <<unordered_flat_map,`boost::unordered_flat_map`>> with `size()` almost
@@ -151,165 +147,4 @@ at `max_load()` level and then erase 1,000 elements, `max_load()` may decrease b
few dozen elements. This is done internally by Boost.Unordered in order
to keep its performance stable, and must be taken into account when planning for rehash-free insertions.
== Iterator Invalidation
It is not specified how member functions other than `rehash` and `reserve` affect
the bucket count, although `insert` can only invalidate iterators
when the insertion causes the container's load to be greater than the maximum allowed.
For most implementations this means that `insert` will only
change the number of buckets when this happens. Iterators can be
invalidated by calls to `insert`, `rehash` and `reserve`.
As for pointers and references,
they are never invalidated for node-based containers
(`boost::unordered_[multi]set`, `boost::unordered_[multi]map`, `boost::unordered_node_set`, `boost::unordered_node_map`),
but they will when rehashing occurs for
`boost::unordered_flat_set` and `boost::unordered_flat_map`: this is because
these containers store elements directly into their holding buckets, so
when allocating a new bucket array the elements must be transferred by means of move construction.
In a similar manner to using `reserve` for ``vector``s, it can be a good idea
to call `reserve` before inserting a large number of elements. This will get
the expensive rehashing out of the way and let you store iterators, safe in
the knowledge that they won't be invalidated. If you are inserting `n`
elements into container `x`, you could first call:
```
x.reserve(n);
```
Note:: `reserve(n)` reserves space for at least `n` elements, allocating enough buckets
so as to not exceed the maximum load factor.
+
Because the maximum load factor is defined as the number of elements divided by the total
number of available buckets, this function is logically equivalent to:
+
```
x.rehash(std::ceil(n / x.max_load_factor()))
```
+
See the <<unordered_map_rehash,reference for more details>> on the `rehash` function.
== Fast Closed Addressing Implementation
++++
<style>
.imageblock > .title {
text-align: inherit;
}
</style>
++++
Boost.Unordered sports one of the fastest implementations of closed addressing, also commonly known as https://en.wikipedia.org/wiki/Hash_table#Separate_chaining[separate chaining]. An example figure representing the data structure is below:
[#img-bucket-groups,.text-center]
.A simple bucket group approach
image::bucket-groups.png[align=center]
An array of "buckets" is allocated and each bucket in turn points to its own individual linked list. This makes meeting the standard requirements of bucket iteration straight-forward. Unfortunately, iteration of the entire container is often times slow using this layout as each bucket must be examined for occupancy, yielding a time complexity of `O(bucket_count() + size())` when the standard requires complexity to be `O(size())`.
Canonical standard implementations will wind up looking like the diagram below:
[.text-center]
.The canonical standard approach
image::singly-linked.png[align=center,link=../diagrams/singly-linked.png,window=_blank]
It's worth noting that this approach is only used by pass:[libc++] and pass:[libstdc++]; the MSVC Dinkumware implementation uses a different one. A more detailed analysis of the standard containers can be found http://bannalia.blogspot.com/2013/10/implementation-of-c-unordered.html[here].
This unusually laid out data structure is chosen to make iteration of the entire container efficient by inter-connecting all of the nodes into a singly-linked list. One might also notice that buckets point to the node _before_ the start of the bucket's elements. This is done so that removing elements from the list can be done efficiently without introducing the need for a doubly-linked list. Unfortunately, this data structure introduces a guaranteed extra indirection. For example, to access the first element of a bucket, something like this must be done:
```c++
auto const idx = get_bucket_idx(hash_function(key));
node* p = buckets[idx]; // first load
node* n = p->next; // second load
if (n && is_in_bucket(n, idx)) {
value_type const& v = *n; // third load
// ...
}
```
With a simple bucket group layout, this is all that must be done:
```c++
auto const idx = get_bucket_idx(hash_function(key));
node* n = buckets[idx]; // first load
if (n) {
value_type const& v = *n; // second load
// ...
}
```
In practice, the extra indirection can have a dramatic performance impact to common operations such as `insert`, `find` and `erase`. But to keep iteration of the container fast, Boost.Unordered introduces a novel data structure, a "bucket group". A bucket group is a fixed-width view of a subsection of the buckets array. It contains a bitmask (a `std::size_t`) which it uses to track occupancy of buckets and contains two pointers so that it can form a doubly-linked list with non-empty groups. An example diagram is below:
[#img-fca-layout]
.The new layout used by Boost
image::fca.png[align=center]
Thus container-wide iteration is turned into traversing the non-empty bucket groups (an operation with constant time complexity) which reduces the time complexity back to `O(size())`. In total, a bucket group is only 4 words in size and it views `sizeof(std::size_t) * CHAR_BIT` buckets meaning that for all common implementations, there's only 4 bits of space overhead per bucket introduced by the bucket groups.
A more detailed description of Boost.Unordered's closed-addressing implementation is
given in an
https://bannalia.blogspot.com/2022/06/advancing-state-of-art-for.html[external article].
For more information on implementation rationale, read the
xref:#rationale_boostunordered_multiset_and_boostunordered_multimap[corresponding section].
== Open Addressing Implementation
The diagram shows the basic internal layout of `boost::unordered_flat_map`/`unordered_node_map` and
`boost:unordered_flat_set`/`unordered_node_set`.
[#img-foa-layout]
.Open-addressing layout used by Boost.Unordered.
image::foa.png[align=center]
As with all open-addressing containers, elements (or pointers to the element nodes in the case of
`boost::unordered_node_map` and `boost::unordered_node_set`) are stored directly in the bucket array.
This array is logically divided into 2^_n_^ _groups_ of 15 elements each.
In addition to the bucket array, there is an associated _metadata array_ with 2^_n_^
16-byte words.
[#img-foa-metadata]
.Breakdown of a metadata word.
image::foa-metadata.png[align=center]
A metadata word is divided into 15 _h_~_i_~ bytes (one for each associated
bucket), and an _overflow byte_ (_ofw_ in the diagram). The value of _h_~_i_~ is:
- 0 if the corresponding bucket is empty.
- 1 to encode a special empty bucket called a _sentinel_, which is used internally to
stop iteration when the container has been fully traversed.
- If the bucket is occupied, a _reduced hash value_ obtained from the hash value of
the element.
When looking for an element with hash value _h_, SIMD technologies such as
https://en.wikipedia.org/wiki/SSE2[SSE2] and
https://en.wikipedia.org/wiki/ARM_architecture_family#Advanced_SIMD_(Neon)[Neon] allow us
to very quickly inspect the full metadata word and look for the reduced value of _h_ among all the
15 buckets with just a handful of CPU instructions: non-matching buckets can be
readily discarded, and those whose reduced hash value matches need be inspected via full
comparison with the corresponding element. If the looked-for element is not present,
the overflow byte is inspected:
- If the bit in the position _h_ mod 8 is zero, lookup terminates (and the
element is not present).
- If the bit is set to 1 (the group has been _overflowed_), further groups are
checked using https://en.wikipedia.org/wiki/Quadratic_probing[_quadratic probing_], and
the process is repeated.
Insertion is algorithmically similar: empty buckets are located using SIMD,
and when going past a full group its corresponding overflow bit is set to 1.
In architectures without SIMD support, the logical layout stays the same, but the metadata
word is codified using a technique we call _bit interleaving_: this layout allows us
to emulate SIMD with reasonably good performance using only standard arithmetic and
logical operations.
[#img-foa-metadata-interleaving]
.Bit-interleaved metadata word.
image::foa-metadata-interleaving.png[align=center]
A more detailed description of Boost.Unordered's open-addressing implementation is
given in an
https://bannalia.blogspot.com/2022/11/inside-boostunorderedflatmap.html[external article].
For more information on implementation rationale, read the
xref:#rationale_boostunordered_flat_set_and_boostunordered_flat_map[corresponding section].
+2 -1
View File
@@ -6,8 +6,9 @@
:github-pr-url: https://github.com/boostorg/unordered/pull
:cpp: C++
== Release 1.83.0
== Release 1.83.0 - Major update
* Added `boost::concurrent_flat_map`, a fast, thread-safe hashmap based on open addressing.
* Sped up iteration of open-addressing containers.
== Release 1.82.0 - Major update
+62 -5
View File
@@ -5,7 +5,7 @@
:cpp: C++
== Closed-addressing containers
== Closed-addressing Containers
`unordered_[multi]set` and `unordered_[multi]map` are intended to provide a conformant
implementation of the {cpp}20 standard that will work with {cpp}98 upwards.
@@ -13,7 +13,7 @@ This wide compatibility does mean some compromises have to be made.
With a compiler and library that fully support {cpp}11, the differences should
be minor.
=== Move emulation
=== Move Emulation
Support for move semantics is implemented using Boost.Move. If rvalue
references are available it will use them, but if not it uses a close,
@@ -25,7 +25,7 @@ but imperfect emulation. On such compilers:
* The containers themselves are not movable.
* Argument forwarding is not perfect.
=== Use of allocators
=== Use of Allocators
{cpp}11 introduced a new allocator system. It's backwards compatible due to
the lax requirements for allocators in the old standard, but might need
@@ -58,7 +58,7 @@ Due to imperfect move emulation, some assignments might check
`propagate_on_container_copy_assignment` on some compilers and
`propagate_on_container_move_assignment` on others.
=== Construction/Destruction using allocators
=== Construction/Destruction Using Allocators
The following support is required for full use of {cpp}11 style
construction/destruction:
@@ -117,7 +117,7 @@ Variadic constructor arguments for `emplace` are only used when both
rvalue references and variadic template parameters are available.
Otherwise `emplace` can only take up to 10 constructors arguments.
== Open-addressing containers
== Open-addressing Containers
The C++ standard does not currently provide any open-addressing container
specification to adhere to, so `boost::unordered_flat_set`/`unordered_node_set` and
@@ -144,4 +144,61 @@ The main differences with C++ unordered associative containers are:
** Pointer stability is not kept under rehashing.
** There is no API for node extraction/insertion.
== Concurrent Containers
There is currently no specification in the C++ standard for this or any other concurrent
data structure. `boost::concurrent_flat_map` takes the same template parameters as `std::unordered_map`
and all the maps provided by Boost.Unordered, and its API is modelled after that of
`boost::unordered_flat_map` with the crucial difference that iterators are not provided
due to their inherent problems in concurrent scenarios (high contention, prone to deadlocking):
so, `boost::concurrent_flat_map` is technically not a
https://en.cppreference.com/w/cpp/named_req/Container[Container^], although
it meets all the requirements of https://en.cppreference.com/w/cpp/named_req/AllocatorAwareContainer[AllocatorAware^]
containers except those implying iterators.
In a non-concurrent unordered container, iterators serve two main purposes:
* Access to an element previously located via lookup.
* Container traversal.
In place of iterators, `boost::concurrent_flat_map` uses _internal visitation_
facilities as a thread-safe substitute. Classical operations returning an iterator to an
element already existing in the container, like for instance:
[source,c++]
----
iterator find(const key_type& k);
std::pair<iterator, bool> insert(const value_type& obj);
----
are transformed to accept a _visitation function_ that is passed such element:
[source,c++]
----
template<class F> size_t visit(const key_type& k, F f);
template<class F> bool insert_or_visit(const value_type& obj, F f);
----
(In the second case `f` is only invoked if there's an equivalent element
to `obj` in the table, not if insertion is successful). Container traversal
is served by:
[source,c++]
----
template<class F> size_t visit_all(F f);
----
of which there are parallelized versions in C++17 compilers with parallel
algorithm support. In general, the interface of `boost::concurrent_flat_map`
is derived from that of `boost::unordered_flat_map` by a fairly straightforward
process of replacing iterators with visitation where applicable. If
`iterator` and `const_iterator` provide mutable and const access to elements,
respectively, here visitation is granted mutable or const access depending on
the constness of the member function used (there are also `*cvisit` overloads for
explicit const visitation).
The one notable operation not provided is `operator[]`/`at`, which can be
replaced, if in a more convoluted manner, by
xref:#concurrent_flat_map_try_emplace_or_cvisit[`try_emplace_or_visit`].
//-
+182
View File
@@ -0,0 +1,182 @@
[#concurrent]
= Concurrent Containers
:idprefix: concurrent_
Boost.Unordered currently provides just one concurrent container named `boost::concurrent_flat_map`.
`boost::concurrent_flat_map` is a hash table that allows concurrent write/read access from
different threads without having to implement any synchronzation mechanism on the user's side.
[source,c++]
----
std::vector<int> input;
boost::concurrent_flat_map<int,int> m;
...
// process input in parallel
const int num_threads = 8;
std::vector<std::jthread> threads;
std::size_t chunk = input.size() / num_threads; // how many elements per thread
for (int i = 0; i < num_threads; ++i) {
threads.emplace_back([&,i] {
// calculate the portion of input this thread takes care of
std::size_t start = i * chunk;
std::size_t end = (i == num_threads - 1)? input.size(): (i + 1) * chunk;
for (std::size_t n = start; n < end; ++n) {
m.emplace(input[n], calculation(input[n]));
}
});
}
----
In the example above, threads access `m` without synchronization, just as we'd do in a
single-threaded scenario. In an ideal setting, if a given workload is distributed among
_N_ threads, execution is _N_ times faster than with one thread —this limit is
never attained in practice due to synchronization overheads and _contention_ (one thread
waiting for another to leave a locked portion of the map), but `boost::concurrent_flat_map`
is designed to perform with very little overhead and typically achieves _linear scaling_
(that is, performance is proportional to the number of threads up to the number of
logical cores in the CPU).
== Visitation-based API
The first thing a new user of `boost::concurrent_flat_map` will notice is that this
class _does not provide iterators_ (which makes it technically
not a https://en.cppreference.com/w/cpp/named_req/Container[Container^]
in the C++ standard sense). The reason for this is that iterators are inherently
thread-unsafe. Consider this hypothetical code:
[source,c++]
----
auto it = m.find(k); // A: get an iterator pointing to the element with key k
if (it != m.end() ) {
some_function(*it); // B: use the value of the element
}
----
In a multithreaded scenario, the iterator `it` may be invalid at point B if some other
thread issues an `m.erase(k)` operation between A and B. There are designs that
can remedy this by making iterators lock the element they point to, but this
approach lends itself to high contention and can easily produce deadlocks in a program.
`operator[]` has similar concurrency issues, and is not provided by
`boost::concurrent_flat_map` either. Instead, element access is done through
so-called _visitation functions_:
[source,c++]
----
m.visit(k, [](const auto& x) { // x is the element with key k (if it exists)
some_function(x); // use it
});
----
The visitation function passed by the user (in this case, a lambda function)
is executed internally by `boost::concurrent_flat_map` in
a thread-safe manner, so it can access the element without worrying about other
threads interfering in the process.
On the other hand, a visitation function can _not_ access the container itself:
[source,c++]
----
m.visit(k, [&](const auto& x) {
some_function(x, m.size()); // forbidden: m can't be accessed inside visitation
});
----
Access to a different container is allowed, though:
[source,c++]
----
m.visit(k, [&](const auto& x) {
if (some_function(x)) {
m2.insert(x); // OK, m2 is a different boost::concurrent_flat_map
}
});
----
But, in general, visitation functions should be as lightweight as possible to
reduce contention and increase parallelization. In some cases, moving heavy work
outside of visitation may be beneficial:
[source,c++]
----
std::optional<value_type> o;
bool found = m.visit(k, [&](const auto& x) {
o = x;
});
if (found) {
some_heavy_duty_function(*o);
}
----
Visitation is prominent in the API provided by `boost::concurrent_flat_map`, and
many classical operations have visitation-enabled variations:
[source,c++]
----
m.insert_or_visit(x, [](auto& y) {
// if insertion failed because of an equivalent element y,
// do something with it, for instance:
++y.second; // increment the mapped part of the element
});
----
Note that in this last example the visitation function could actually _modify_
the element: as a general rule, operations on a `boost::concurrent_flat_map` `m`
will grant visitation functions const/non-const access to the element depending on whether
`m` is const/non-const. Const access can be always be explicitly requested
by using `cvisit` overloads (for instance, `insert_or_cvisit`) and may result
in higher parallelization. Consult the xref:#concurrent_flat_map[reference]
for a complete list of available operations.
== Whole-Table Visitation
In the absence of iterators, `boost::concurrent_flat_map` provides `visit_all`
as an alternative way to process all the elements in the map:
[source,c++]
----
m.visit_all([](auto& x) {
x.second = 0; // reset the mapped part of the element
});
----
In C++17 compilers implementing standard parallel algorithms, whole-table
visitation can be parallelized:
[source,c++]
----
m.visit_all(std::execution::par, [](auto& x) { // run in parallel
x.second = 0; // reset the mapped part of the element
});
----
There is another whole-table visitation operation, `erase_if`:
[source,c++]
----
m.erase_if([](auto& x) {
return x.second == 0; // erase the elements whose mapped value is zero
});
----
`erase_if` can also be parallelized. Note that, in order to increase efficiency,
these operations do not block the table during execution: this implies that elements
may be inserted, modified or erased by other threads during visitation. It is
advisable not to assume too much about the exact global state of a `boost::concurrent_flat_map`
at any point in your program.
== Blocking Operations
``boost::concurrent_flat_map``s can be copied, assigned, cleared and merged just like any
Boost.Unordered container. Unlike most other operations, these are _blocking_,
that is, all other threads are prevented from accesing the tables involved while a copy, assignment,
clear or merge operation is in progress. Blocking is taken care of automatically by the library
and the user need not take any special precaution, but overall performance may be affected.
Another blocking operation is _rehashing_, which happens explicitly via `rehash`/`reserve`
or during insertion when the table's load hits `max_load()`. As with non-concurrent containers,
reserving space in advance of bulk insertions will generally speed up the process.
File diff suppressed because it is too large Load Diff
+3 -3
View File
@@ -20,14 +20,14 @@ class unordered_map;
The hash function comes first as you might want to change the hash function
but not the equality predicate. For example, if you wanted to use the
http://www.isthe.com/chongo/tech/comp/fnv/[FNV-1 hash^] you could write:
https://en.wikipedia.org/wiki/Fowler%E2%80%93Noll%E2%80%93Vo_hash_function#FNV-1a_hash[FNV-1a hash^] you could write:
```
boost::unordered_map<std::string, int, hash::fnv_1>
boost::unordered_map<std::string, int, hash::fnv_1a>
dictionary;
```
There is an link:../../examples/fnv1.hpp[implementation of FNV-1^] in the examples directory.
There is an link:../../examples/fnv1.hpp[implementation of FNV-1a^] in the examples directory.
If you wish to use a different equality function, you will also need to use a matching hash function. For example, to implement a case insensitive dictionary you need to define a case insensitive equality predicate and hash function:
+61 -182
View File
@@ -4,26 +4,65 @@
:idprefix: intro_
:cpp: C++
For accessing data based on key lookup, the {cpp} standard library offers `std::set`,
`std::map`, `std::multiset` and `std::multimap`. These are generally
implemented using balanced binary trees so that lookup time has
logarithmic complexity. That is generally okay, but in many cases a
link:https://en.wikipedia.org/wiki/Hash_table[hash table^] can perform better, as accessing data has constant complexity,
on average. The worst case complexity is linear, but that occurs rarely and
with some care, can be avoided.
link:https://en.wikipedia.org/wiki/Hash_table[Hash tables^] are extremely popular
computer data structures and can be found under one form or another in virtually any programming
language. Whereas other associative structures such as rb-trees (used in {cpp} by `std::set` and `std::map`)
have logarithmic-time complexity for insertion and lookup, hash tables, if configured properly,
perform these operations in constant time on average, and are generally much faster.
Also, the existing containers require a 'less than' comparison object
to order their elements. For some data types this is impossible to implement
or isn't practical. In contrast, a hash table only needs an equality function
and a hash function for the key.
{cpp} introduced __unordered associative containers__ `std::unordered_set`, `std::unordered_map`,
`std::unordered_multiset` and `std::unordered_multimap` in {cpp}11, but research on hash tables
hasn't stopped since: advances in CPU architectures such as
more powerful caches, link:https://en.wikipedia.org/wiki/Single_instruction,_multiple_data[SIMD] operations
and increasingly available link:https://en.wikipedia.org/wiki/Multi-core_processor[multicore processors]
open up possibilities for improved hash-based data structures and new use cases that
are simply beyond reach of unordered associative containers as specified in 2011.
With this in mind, unordered associative containers were added to the {cpp}
standard. Boost.Unordered provides an implementation of the containers described in {cpp}11,
with some <<compliance,deviations from the standard>> in
order to work with non-{cpp}11 compilers and libraries.
Boost.Unordered offers a catalog of hash containers with different standards compliance levels,
performances and intented usage scenarios:
[caption=, title='Table {counter:table-counter}. Boost.Unordered containers']
[cols="1,1,.^1", frame=all, grid=all]
|===
^h|
^h|*Node-based*
^h|*Flat*
^.^h|*Closed addressing*
^m|
boost::unordered_set +
boost::unordered_map +
boost::unordered_multiset +
boost::unordered_multimap
^|
^.^h|*Open addressing*
^m| boost::unordered_node_set +
boost::unordered_node_map
^m| boost::unordered_flat_set +
boost::unordered_flat_map
^.^h|*Concurrent*
^|
^| `boost::concurrent_flat_map`
|===
* **Closed-addressing containers** are fully compliant with the C++ specification
for unordered associative containers and feature one of the fastest implementations
in the market within the technical constraints imposed by the required standard interface.
* **Open-addressing containers** rely on much faster data structures and algorithms
(more than 2 times faster in typical scenarios) while slightly diverging from the standard
interface to accommodate the implementation.
There are two variants: **flat** (the fastest) and **node-based**, which
provide pointer stability under rehashing at the expense of being slower.
* Finally, `boost::concurrent_flat_map` (the only **concurrent container** provided
at present) is a hashmap designed and implemented to be used in high-performance
multithreaded scenarios. Its interface is radically different from that of regular C++ containers.
All sets and maps in Boost.Unordered are instantiatied similarly as
`std::unordered_set` and `std::unordered_map`, respectively:
`unordered_set` and `unordered_multiset` are defined in the header
`<boost/unordered/unordered_set.hpp>`
[source,c++]
----
namespace boost {
@@ -32,178 +71,21 @@ namespace boost {
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<Key> >
class unordered_set;
class unordered_set;
// same for unordered_multiset, unordered_flat_set, unordered_node_set
template<
class Key,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<Key> >
class unordered_multiset;
}
----
`unordered_map` and `unordered_multimap` are defined in the header
`<boost/unordered/unordered_map.hpp>`
[source,c++]
----
namespace boost {
template <
class Key, class Mapped,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<std::pair<Key const, Mapped> > >
class unordered_map;
template<
class Key, class Mapped,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<std::pair<Key const, Mapped> > >
class unordered_multimap;
// same for unordered_multimap, unordered_flat_map, unordered_node_map
// and concurrent_flat_map
}
----
These containers, and all other implementations of standard unordered associative
containers, use an approach to its internal data structure design called
*closed addressing*. Starting in Boost 1.81, Boost.Unordered also provides containers
`boost::unordered_flat_set` and `boost::unordered_flat_map`, which use a
different data structure strategy commonly known as *open addressing* and depart in
a small number of ways from the standard so as to offer much better performance
in exchange (more than 2 times faster in typical scenarios):
[source,c++]
----
// #include <boost/unordered/unordered_flat_set.hpp>
//
// Note: no multiset version
namespace boost {
template <
class Key,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<Key> >
class unordered_flat_set;
}
----
[source,c++]
----
// #include <boost/unordered/unordered_flat_map.hpp>
//
// Note: no multimap version
namespace boost {
template <
class Key, class Mapped,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<std::pair<Key const, Mapped> > >
class unordered_flat_map;
}
----
Starting in Boost 1.82, the containers `boost::unordered_node_set` and `boost::unordered_node_map`
are introduced: they use open addressing like `boost::unordered_flat_set` and `boost::unordered_flat_map`,
but internally store element _nodes_, like `boost::unordered_set` and `boost::unordered_map`,
which provide stability of pointers and references to the elements:
[source,c++]
----
// #include <boost/unordered/unordered_node_set.hpp>
//
// Note: no multiset version
namespace boost {
template <
class Key,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<Key> >
class unordered_node_set;
}
----
[source,c++]
----
// #include <boost/unordered/unordered_node_map.hpp>
//
// Note: no multimap version
namespace boost {
template <
class Key, class Mapped,
class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Alloc = std::allocator<std::pair<Key const, Mapped> > >
class unordered_node_map;
}
----
These are all the containers provided by Boost.Unordered:
[caption=, title='Table {counter:table-counter}. Boost.Unordered containers']
[cols="1,1,.^1", frame=all, grid=rows]
|===
^h|
^h|*Node-based*
^h|*Flat*
^.^h|*Closed addressing*
^| `boost::unordered_set` +
`boost::unordered_map` +
`boost::unordered_multiset` +
`boost::unordered_multimap`
^|
^.^h|*Open addressing*
^| `boost::unordered_node_set` +
`boost::unordered_node_map`
^| `boost::unordered_flat_set` +
`boost::unordered_flat_map`
|===
Closed-addressing containers are pass:[C++]98-compatible. Open-addressing containers require a
reasonably compliant pass:[C++]11 compiler.
Boost.Unordered containers are used in a similar manner to the normal associative
containers:
[source,cpp]
----
typedef boost::unordered_map<std::string, int> map;
map x;
x["one"] = 1;
x["two"] = 2;
x["three"] = 3;
assert(x.at("one") == 1);
assert(x.find("missing") == x.end());
----
But since the elements aren't ordered, the output of:
[source,c++]
----
for(const map::value_type& i: x) {
std::cout<<i.first<<","<<i.second<<"\n";
}
----
can be in any order. For example, it might be:
[source]
----
two,2
one,1
three,3
----
To store an object in an unordered associative container requires both a
Storing an object in an unordered associative container requires both a
key equality function and a hash function. The default function objects in
the standard containers support a few basic types including integer types,
floating point types, pointer types, and the standard strings. Since
@@ -213,6 +95,3 @@ you have to extend Boost.Hash to support the type or use
your own custom equality predicates and hash functions. See the
<<hash_equality,Equality Predicates and Hash Functions>> section
for more details.
There are other differences, which are listed in the
<<comparison,Comparison with Associative Containers>> section.
+27 -5
View File
@@ -4,7 +4,7 @@
= Implementation Rationale
== Closed-addressing containers
== Closed-addressing Containers
`boost::unordered_[multi]set` and `boost::unordered_[multi]map`
adhere to the standard requirements for unordered associative
@@ -74,7 +74,7 @@ Since release 1.80.0, prime numbers are chosen for the number of buckets in
tandem with sophisticated modulo arithmetic. This removes the need for "mixing"
the result of the user's hash function as was used for release 1.79.0.
== Open-addresing containers
== Open-addresing Containers
The C++ standard specification of unordered associative containers impose
severe limitations on permissible implementations, the most important being
@@ -86,7 +86,7 @@ The design of `boost::unordered_flat_set`/`unordered_node_set` and `boost::unord
guided by Peter Dimov's https://pdimov.github.io/articles/unordered_dev_plan.html[Development Plan for Boost.Unordered^].
We discuss here the most relevant principles.
=== Hash function
=== Hash Function
Given its rich functionality and cross-platform interoperability,
`boost::hash` remains the default hash function of open-addressing containers.
@@ -105,10 +105,10 @@ whereas in 32 bits _C_ = 0xE817FB2Du has been obtained from https://arxiv.org/ab
When using a hash function directly suitable for open addressing, post-mixing can be opted out by via a dedicated <<hash_traits_hash_is_avalanching,`hash_is_avalanching`>>trait.
`boost::hash` specializations for string types are marked as avalanching.
=== Platform interoperability
=== Platform Interoperability
The observable behavior of `boost::unordered_flat_set`/`unordered_node_set` and `boost::unordered_flat_map`/`unordered_node_map` is deterministically
identical across different compilers as long as their ``std::size_type``s are the same size and the user-provided
identical across different compilers as long as their ``std::size_t``s are the same size and the user-provided
hash function and equality predicate are also interoperable
&#8212;this includes elements being ordered in exactly the same way for the same sequence of
operations.
@@ -117,3 +117,25 @@ Although the implementation internally uses SIMD technologies, such as https://e
and https://en.wikipedia.org/wiki/ARM_architecture_family#Advanced_SIMD_(NEON)[Neon^], when available,
this does not affect interoperatility. For instance, the behavior is the same
for Visual Studio on an x64-mode Intel CPU with SSE2 and for GCC on an IBM s390x without any supported SIMD technology.
== Concurrent Containers
The same data structure used by Boost.Unordered open-addressing containers has been chosen
also as the foundation of `boost::concurrent_flat_map`:
* Open-addressing is faster than closed-addressing alternatives, both in non-concurrent and
concurrent scenarios.
* Open-addressing layouts are eminently suitable for concurrent access and modification
with minimal locking. In particular, the metadata array can be used for implementations of
lookup that are lock-free up to the last step of actual element comparison.
* Layout compatibility with Boost.Unordered flat containers allows for fast transfer
of all elements between `boost::concurrent_flat_map` and `boost::unordered_flat_map`.
(This feature has not been implemented yet.)
=== Hash Function and Platform Interoperability
`boost::concurrent_flat_map` makes the same decisions and provides the same guarantees
as Boost.Unordered open-addressing containers with regards to
xref:#rationale_hash_function[hash function defaults] and
xref:#rationale_platform_interoperability[platform interoperability].
+1
View File
@@ -10,3 +10,4 @@ include::unordered_flat_map.adoc[]
include::unordered_flat_set.adoc[]
include::unordered_node_map.adoc[]
include::unordered_node_set.adoc[]
include::concurrent_flat_map.adoc[]
@@ -1,8 +1,99 @@
[#regular]
= Regular Containers
:idprefix: regular_
Boost.Unordered closed-addressing containers (`boost::unordered_set`, `boost::unordered_map`,
`boost::unordered_multiset` and `boost::unordered_multimap`) are fully conformant with the
C++ specification for unordered associative containers, so for those who know how to use
`std::unordered_set`, `std::unordered_map`, etc., their homonyms in Boost.Unordered are
drop-in replacements. The interface of open-addressing containers (`boost::unordered_node_set`,
`boost::unordered_node_map`, `boost::unordered_flat_set` and `boost::unordered_flat_map`)
is very similar, but they present some minor differences listed in the dedicated
xref:#compliance_open_addressing_containers[standard compliance section].
For readers without previous experience with hash containers but familiar
with normal associative containers (`std::set`, `std::map`,
`std::multiset` and `std::multimap`), Boost.Unordered containers are used in a similar manner:
[source,cpp]
----
typedef boost::unordered_map<std::string, int> map;
map x;
x["one"] = 1;
x["two"] = 2;
x["three"] = 3;
assert(x.at("one") == 1);
assert(x.find("missing") == x.end());
----
But since the elements aren't ordered, the output of:
[source,c++]
----
for(const map::value_type& i: x) {
std::cout<<i.first<<","<<i.second<<"\n";
}
----
can be in any order. For example, it might be:
[source]
----
two,2
one,1
three,3
----
There are other differences, which are listed in the
<<comparison,Comparison with Associative Containers>> section.
== Iterator Invalidation
It is not specified how member functions other than `rehash` and `reserve` affect
the bucket count, although `insert` can only invalidate iterators
when the insertion causes the container's load to be greater than the maximum allowed.
For most implementations this means that `insert` will only
change the number of buckets when this happens. Iterators can be
invalidated by calls to `insert`, `rehash` and `reserve`.
As for pointers and references,
they are never invalidated for node-based containers
(`boost::unordered_[multi]set`, `boost::unordered_[multi]map`, `boost::unordered_node_set`, `boost::unordered_node_map`),
but they will be when rehashing occurs for
`boost::unordered_flat_set` and `boost::unordered_flat_map`: this is because
these containers store elements directly into their holding buckets, so
when allocating a new bucket array the elements must be transferred by means of move construction.
In a similar manner to using `reserve` for ``vector``s, it can be a good idea
to call `reserve` before inserting a large number of elements. This will get
the expensive rehashing out of the way and let you store iterators, safe in
the knowledge that they won't be invalidated. If you are inserting `n`
elements into container `x`, you could first call:
```
x.reserve(n);
```
Note:: `reserve(n)` reserves space for at least `n` elements, allocating enough buckets
so as to not exceed the maximum load factor.
+
Because the maximum load factor is defined as the number of elements divided by the total
number of available buckets, this function is logically equivalent to:
+
```
x.rehash(std::ceil(n / x.max_load_factor()))
```
+
See the <<unordered_map_rehash,reference for more details>> on the `rehash` function.
[#comparison]
:idprefix: comparison_
= Comparison with Associative Containers
== Comparison with Associative Containers
[caption=, title='Table {counter:table-counter} Interface differences']
[cols="1,1", frame=all, grid=rows]
@@ -32,7 +123,7 @@
|`iterator`, `const_iterator` are of at least the forward category.
|Iterators, pointers and references to the container's elements are never invalidated.
|<<buckets_iterator_invalidation,Iterators can be invalidated by calls to insert or rehash>>. +
|<<regular_iterator_invalidation,Iterators can be invalidated by calls to insert or rehash>>. +
**Node-based containers:** Pointers and references to the container's elements are never invalidated. +
**Flat containers:** Pointers and references to the container's elements are invalidated when rehashing occurs.
+179
View File
@@ -0,0 +1,179 @@
[#structures]
= Data Structures
:idprefix: structures_
== Closed-addressing Containers
++++
<style>
.imageblock > .title {
text-align: inherit;
}
</style>
++++
Boost.Unordered sports one of the fastest implementations of closed addressing, also commonly known as https://en.wikipedia.org/wiki/Hash_table#Separate_chaining[separate chaining]. An example figure representing the data structure is below:
[#img-bucket-groups,.text-center]
.A simple bucket group approach
image::bucket-groups.png[align=center]
An array of "buckets" is allocated and each bucket in turn points to its own individual linked list. This makes meeting the standard requirements of bucket iteration straight-forward. Unfortunately, iteration of the entire container is often times slow using this layout as each bucket must be examined for occupancy, yielding a time complexity of `O(bucket_count() + size())` when the standard requires complexity to be `O(size())`.
Canonical standard implementations will wind up looking like the diagram below:
[.text-center]
.The canonical standard approach
image::singly-linked.png[align=center,link=../diagrams/singly-linked.png,window=_blank]
It's worth noting that this approach is only used by pass:[libc++] and pass:[libstdc++]; the MSVC Dinkumware implementation uses a different one. A more detailed analysis of the standard containers can be found http://bannalia.blogspot.com/2013/10/implementation-of-c-unordered.html[here].
This unusually laid out data structure is chosen to make iteration of the entire container efficient by inter-connecting all of the nodes into a singly-linked list. One might also notice that buckets point to the node _before_ the start of the bucket's elements. This is done so that removing elements from the list can be done efficiently without introducing the need for a doubly-linked list. Unfortunately, this data structure introduces a guaranteed extra indirection. For example, to access the first element of a bucket, something like this must be done:
```c++
auto const idx = get_bucket_idx(hash_function(key));
node* p = buckets[idx]; // first load
node* n = p->next; // second load
if (n && is_in_bucket(n, idx)) {
value_type const& v = *n; // third load
// ...
}
```
With a simple bucket group layout, this is all that must be done:
```c++
auto const idx = get_bucket_idx(hash_function(key));
node* n = buckets[idx]; // first load
if (n) {
value_type const& v = *n; // second load
// ...
}
```
In practice, the extra indirection can have a dramatic performance impact to common operations such as `insert`, `find` and `erase`. But to keep iteration of the container fast, Boost.Unordered introduces a novel data structure, a "bucket group". A bucket group is a fixed-width view of a subsection of the buckets array. It contains a bitmask (a `std::size_t`) which it uses to track occupancy of buckets and contains two pointers so that it can form a doubly-linked list with non-empty groups. An example diagram is below:
[#img-fca-layout]
.The new layout used by Boost
image::fca.png[align=center]
Thus container-wide iteration is turned into traversing the non-empty bucket groups (an operation with constant time complexity) which reduces the time complexity back to `O(size())`. In total, a bucket group is only 4 words in size and it views `sizeof(std::size_t) * CHAR_BIT` buckets meaning that for all common implementations, there's only 4 bits of space overhead per bucket introduced by the bucket groups.
A more detailed description of Boost.Unordered's closed-addressing implementation is
given in an
https://bannalia.blogspot.com/2022/06/advancing-state-of-art-for.html[external article].
For more information on implementation rationale, read the
xref:#rationale_closed_addressing_containers[corresponding section].
== Open-addressing Containers
The diagram shows the basic internal layout of `boost::unordered_flat_map`/`unordered_node_map` and
`boost:unordered_flat_set`/`unordered_node_set`.
[#img-foa-layout]
.Open-addressing layout used by Boost.Unordered.
image::foa.png[align=center]
As with all open-addressing containers, elements (or pointers to the element nodes in the case of
`boost::unordered_node_map` and `boost::unordered_node_set`) are stored directly in the bucket array.
This array is logically divided into 2^_n_^ _groups_ of 15 elements each.
In addition to the bucket array, there is an associated _metadata array_ with 2^_n_^
16-byte words.
[#img-foa-metadata]
.Breakdown of a metadata word.
image::foa-metadata.png[align=center]
A metadata word is divided into 15 _h_~_i_~ bytes (one for each associated
bucket), and an _overflow byte_ (_ofw_ in the diagram). The value of _h_~_i_~ is:
- 0 if the corresponding bucket is empty.
- 1 to encode a special empty bucket called a _sentinel_, which is used internally to
stop iteration when the container has been fully traversed.
- If the bucket is occupied, a _reduced hash value_ obtained from the hash value of
the element.
When looking for an element with hash value _h_, SIMD technologies such as
https://en.wikipedia.org/wiki/SSE2[SSE2] and
https://en.wikipedia.org/wiki/ARM_architecture_family#Advanced_SIMD_(Neon)[Neon] allow us
to very quickly inspect the full metadata word and look for the reduced value of _h_ among all the
15 buckets with just a handful of CPU instructions: non-matching buckets can be
readily discarded, and those whose reduced hash value matches need be inspected via full
comparison with the corresponding element. If the looked-for element is not present,
the overflow byte is inspected:
- If the bit in the position _h_ mod 8 is zero, lookup terminates (and the
element is not present).
- If the bit is set to 1 (the group has been _overflowed_), further groups are
checked using https://en.wikipedia.org/wiki/Quadratic_probing[_quadratic probing_], and
the process is repeated.
Insertion is algorithmically similar: empty buckets are located using SIMD,
and when going past a full group its corresponding overflow bit is set to 1.
In architectures without SIMD support, the logical layout stays the same, but the metadata
word is codified using a technique we call _bit interleaving_: this layout allows us
to emulate SIMD with reasonably good performance using only standard arithmetic and
logical operations.
[#img-foa-metadata-interleaving]
.Bit-interleaved metadata word.
image::foa-metadata-interleaving.png[align=center]
A more detailed description of Boost.Unordered's open-addressing implementation is
given in an
https://bannalia.blogspot.com/2022/11/inside-boostunorderedflatmap.html[external article].
For more information on implementation rationale, read the
xref:#rationale_open_addresing_containers[corresponding section].
== Concurrent Containers
`boost::concurrent_flat_map` uses the basic
xref:#structures_open_addressing_containers[open-addressing layout] described above
augmented with synchronization mechanisms.
[#img-cfoa-layout]
.Concurrent open-addressing layout used by Boost.Unordered.
image::cfoa.png[align=center]
Two levels of synchronization are used:
* Container level: A read-write mutex is used to control access from any operation
to the container. Typically, such access is in read mode (that is, concurrent) even
for modifying operations, so for most practical purposes there is no thread
contention at this level. Access is only in write mode (blocking) when rehashing or
performing container-wide operations such as swapping or assignment.
* Group level: Each 15-slot group is equipped with an 8-byte word containing:
** A read-write spinlock for synchronized access to any element in the group.
** An atomic _insertion counter_ used for optimistic insertion as described
below.
By using atomic operations to access the group metadata, lookup is (group-level)
lock-free up to the point where an actual comparison needs to be done with an element
that has been previously SIMD-matched: only then it's the group's spinlock used.
Insertion uses the following _optimistic algorithm_:
* The value of the insertion counter for the initial group in the probe
sequence is locally recorded (let's call this value `c0`).
* Lookup is as described above. If lookup finds no equivalent element,
search for an available slot for insertion successively locks/unlocks
each group in the probing sequence.
* When an available slot is located, it is preemptively occupied (its
reduced hash value is set) and the insertion counter is atomically
incremented: if no other thread has incremented the counter during the
whole operation (which is checked by comparing with `c0`), then we're
good to go and complete the insertion, otherwise we roll back and start
over.
This algorithm has very low contention both at the lookup and actual
insertion phases in exchange for the possibility that computations have
to be started over if some other thread interferes in the process by
performing a succesful insertion beginning at the same group. In
practice, the start-over frequency is extremely small, measured in the range
of parts per million for some of our benchmarks.
For more information on implementation rationale, read the
xref:#rationale_concurrent_containers[corresponding section].
+11 -10
View File
@@ -1,5 +1,5 @@
[#unordered_flat_map]
== Class template unordered_flat_map
== Class Template unordered_flat_map
:idprefix: unordered_flat_map_
@@ -280,6 +280,7 @@ namespace boost {
unordered_flat_map<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_flat_map<K, T, H, P, A>::size_type
xref:#unordered_flat_map_erase_if[erase_if](unordered_flat_map<K, T, H, P, A>& c, Predicate pred);
@@ -859,7 +860,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into the container from `*first`.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, pointers and references, but only if the insert causes the load to be greater than the maximum load.
@@ -875,7 +876,7 @@ template<class K, class... Args>
std::pair<iterator, bool> try_emplace(K&& k, Args&&... args);
```
Inserts a new node into the container if there is no existing element with key `k` contained within it.
Inserts a new element into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -904,7 +905,7 @@ unlike xref:#unordered_flat_map_emplace[emplace], which simply forwards all argu
Can invalidate iterators pointers and references, but only if the insert causes the load to be greater than the maximum load.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
--
@@ -920,7 +921,7 @@ template<class K, class... Args>
iterator try_emplace(const_iterator hint, K&& k, Args&&... args);
```
Inserts a new node into the container if there is no existing element with key `k` contained within it.
Inserts a new element into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -949,7 +950,7 @@ unlike xref:#unordered_flat_map_emplace_hint[emplace_hint], which simply forward
Can invalidate iterators pointers and references, but only if the insert causes the load to be greater than the maximum load.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
--
@@ -1160,7 +1161,7 @@ template<class K>
[horizontal]
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `end()` if no such element exists.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1173,7 +1174,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1186,7 +1187,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1202,7 +1203,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+7 -6
View File
@@ -1,5 +1,5 @@
[#unordered_flat_set]
== Class template unordered_flat_set
== Class Template unordered_flat_set
:idprefix: unordered_flat_set_
@@ -234,6 +234,7 @@ namespace boost {
unordered_flat_set<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_flat_set<K, T, H, P, A>::size_type
xref:#unordered_flat_set_erase_if[erase_if](unordered_flat_set<K, T, H, P, A>& c, Predicate pred);
@@ -837,7 +838,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into the container from `*first`.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, pointers and references, but only if the insert causes the load to be greater than the maximum load.
@@ -971,7 +972,7 @@ template<class K>
[horizontal]
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `end()` if no such element exists.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -984,7 +985,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -997,7 +998,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1013,7 +1014,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+12 -11
View File
@@ -1,5 +1,5 @@
[#unordered_map]
== Class template unordered_map
== Class Template unordered_map
:idprefix: unordered_map_
@@ -286,6 +286,7 @@ namespace boost {
unordered_map<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_map<K, T, H, P, A>::size_type
xref:#unordered_map_erase_if[erase_if](unordered_map<K, T, H, P, A>& c, Predicate pred);
@@ -995,7 +996,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into `X` from `*first`.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, but only if the insert causes the load factor to be greater to or equal to the maximum load factor. +
+
@@ -1009,11 +1010,11 @@ template<class... Args>
std::pair<iterator, bool> try_emplace(const key_type& k, Args&&... args);
template<class... Args>
std::pair<iterator, bool> try_emplace(key_type&& k, Args&&... args);
template <class K, class... Args>
template<class K, class... Args>
std::pair<iterator, bool> try_emplace(K&& k, Args&&... args)
```
Inserts a new node into the container if there is no existing element with key `k` contained within it.
Inserts a new element into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -1043,7 +1044,7 @@ Can invalidate iterators, but only if the insert causes the load factor to be gr
Pointers and references to elements are never invalidated.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
If the compiler doesn't support variadic template arguments or rvalue references, this is emulated for up to `10` arguments, with no support for rvalue references or move semantics.
@@ -1062,7 +1063,7 @@ template<class K, class... Args>
iterator try_emplace(const_iterator hint, K&& k, Args&&... args);
```
Inserts a new node into the container if there is no existing element with key `k` contained within it.
Inserts a new element into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -1094,7 +1095,7 @@ Can invalidate iterators, but only if the insert causes the load factor to be gr
Pointers and references to elements are never invalidated.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
If the compiler doesn't support variadic template arguments or rvalue references, this is emulated for up to `10` arguments, with no support for rvalue references or move semantics.
@@ -1466,7 +1467,7 @@ template<typename CompatibleKey, typename CompatibleHash, typename CompatiblePre
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `b.end()` if no such element exists.
Notes:;; The templated overloads containing `CompatibleKey`, `CompatibleHash` and `CompatiblePredicate` are non-standard extensions which allow you to use a compatible hash function and equality predicate for a key of a different type in order to avoid an expensive type cast. In general, its use is not encouraged and instead the `K` member function templates should be used. +
+
The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1479,7 +1480,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1492,7 +1493,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1508,7 +1509,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+7 -6
View File
@@ -1,5 +1,5 @@
[#unordered_multimap]
== Class template unordered_multimap
== Class Template unordered_multimap
:idprefix: unordered_multimap_
@@ -253,6 +253,7 @@ namespace boost {
unordered_multimap<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_multimap<K, T, H, P, A>::size_type
xref:#unordered_multimap_erase_if[erase_if](unordered_multimap<K, T, H, P, A>& c, Predicate pred);
@@ -941,7 +942,7 @@ void insert(std::initializer_list<value_type> il);
Inserts a range of elements into the container.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into `X` from `*first`.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, but only if the insert causes the load factor to be greater to or equal to the maximum load factor. +
+
@@ -1223,7 +1224,7 @@ template<typename CompatibleKey, typename CompatibleHash, typename CompatiblePre
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `b.end()` if no such element exists.
Notes:;; The templated overloads containing `CompatibleKey`, `CompatibleHash` and `CompatiblePredicate` are non-standard extensions which allow you to use a compatible hash function and equality predicate for a key of a different type in order to avoid an expensive type cast. In general, its use is not encouraged and instead the `K` member function templates should be used. +
+
The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1236,7 +1237,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1249,7 +1250,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1265,7 +1266,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+7 -6
View File
@@ -1,5 +1,5 @@
[#unordered_multiset]
== Class template unordered_multiset
== Class Template unordered_multiset
:idprefix: unordered_multiset_
@@ -244,6 +244,7 @@ namespace boost {
unordered_multiset<Key, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class H, class P, class A, class Predicate>
typename unordered_multiset<K, H, P, A>::size_type
xref:#unordered_multiset_erase_if[erase_if](unordered_multiset<K, H, P, A>& c, Predicate pred);
@@ -899,7 +900,7 @@ void insert(std::initializer_list<value_type> il);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into `X` from `*first`.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, but only if the insert causes the load factor to be greater to or equal to the maximum load factor. +
+
@@ -1181,7 +1182,7 @@ template<typename CompatibleKey, typename CompatibleHash, typename CompatiblePre
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `b.end()` if no such element exists.
Notes:;; The templated overloads containing `CompatibleKey`, `CompatibleHash` and `CompatiblePredicate` are non-standard extensions which allow you to use a compatible hash function and equality predicate for a key of a different type in order to avoid an expensive type cast. In general, its use is not encouraged and instead the `K` member function templates should be used. +
+
The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1194,7 +1195,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1207,7 +1208,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1223,7 +1224,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+11 -10
View File
@@ -1,5 +1,5 @@
[#unordered_node_map]
== Class template unordered_node_map
== Class Template unordered_node_map
:idprefix: unordered_node_map_
@@ -284,6 +284,7 @@ namespace boost {
unordered_node_map<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_node_map<K, T, H, P, A>::size_type
xref:#unordered_node_map_erase_if[erase_if](unordered_node_map<K, T, H, P, A>& c, Predicate pred);
@@ -893,7 +894,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into the container from `*first`.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, but only if the insert causes the load to be greater than the maximum load.
@@ -945,7 +946,7 @@ template<class K, class... Args>
std::pair<iterator, bool> try_emplace(K&& k, Args&&... args);
```
Inserts a new node into the container if there is no existing element with key `k` contained within it.
Inserts a new element into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -974,7 +975,7 @@ unlike xref:#unordered_node_map_emplace[emplace], which simply forwards all argu
Can invalidate iterators, but only if the insert causes the load to be greater than the maximum load.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
--
@@ -990,7 +991,7 @@ template<class K, class... Args>
iterator try_emplace(const_iterator hint, K&& k, Args&&... args);
```
Inserts a new node into the container if there is no existing element with key `k` contained within it.
Inserts a new element into the container if there is no existing element with key `k` contained within it.
If there is an existing element with key `k` this function does nothing.
@@ -1019,7 +1020,7 @@ unlike xref:#unordered_node_map_emplace_hint[emplace_hint], which simply forward
Can invalidate iterators, but only if the insert causes the load to be greater than the maximum load.
The `template <class K, class... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K, class\... Args>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs and neither `iterator` nor `const_iterator` are implicitly convertible from `K`. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
--
@@ -1258,7 +1259,7 @@ template<class K>
[horizontal]
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `end()` if no such element exists.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1271,7 +1272,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1284,7 +1285,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1300,7 +1301,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+7 -6
View File
@@ -1,5 +1,5 @@
[#unordered_node_set]
== Class template unordered_node_set
== Class Template unordered_node_set
:idprefix: unordered_node_set_
@@ -238,6 +238,7 @@ namespace boost {
unordered_node_set<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class T, class H, class P, class A, class Predicate>
typename unordered_node_set<K, T, H, P, A>::size_type
xref:#unordered_node_set_erase_if[erase_if](unordered_node_set<K, T, H, P, A>& c, Predicate pred);
@@ -874,7 +875,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into the container from `*first`.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, but only if the insert causes the load to be greater than the maximum load.
@@ -1072,7 +1073,7 @@ template<class K>
[horizontal]
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `end()` if no such element exists.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1085,7 +1086,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1098,7 +1099,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1114,7 +1115,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+7 -6
View File
@@ -1,5 +1,5 @@
[#unordered_set]
== Class template unordered_set
== Class Template unordered_set
:idprefix: unordered_set_
@@ -245,6 +245,7 @@ namespace boost {
unordered_set<Key, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
// Erasure
template<class K, class H, class P, class A, class Predicate>
typename unordered_set<K, H, P, A>::size_type
xref:#unordered_set_erase_if[erase_if](unordered_set<K, H, P, A>& c, Predicate pred);
@@ -959,7 +960,7 @@ void insert(std::initializer_list<value_type>);
Inserts a range of elements into the container. Elements are inserted if and only if there is no element in the container with an equivalent key.
[horizontal]
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/EmplaceConstructible[EmplaceConstructible^] into `X` from `*first`.
Requires:;; `value_type` is https://en.cppreference.com/w/cpp/named_req/CopyInsertable[CopyInsertable^] into the container.
Throws:;; When inserting a single element, if an exception is thrown by an operation other than a call to `hasher` the function has no effect.
Notes:;; Can invalidate iterators, but only if the insert causes the load factor to be greater to or equal to the maximum load factor. +
+
@@ -1248,7 +1249,7 @@ template<typename CompatibleKey, typename CompatibleHash, typename CompatiblePre
Returns:;; An iterator pointing to an element with key equivalent to `k`, or `b.end()` if no such element exists.
Notes:;; The templated overloads containing `CompatibleKey`, `CompatibleHash` and `CompatiblePredicate` are non-standard extensions which allow you to use a compatible hash function and equality predicate for a key of a different type in order to avoid an expensive type cast. In general, its use is not encouraged and instead the `K` member function templates should be used. +
+
The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1261,7 +1262,7 @@ template<class K>
[horizontal]
Returns:;; The number of elements with key equivalent to `k`.
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1274,7 +1275,7 @@ template<class K>
[horizontal]
Returns:;; A boolean indicating whether or not there is an element with key equal to `key` in the container
Notes:;; The `template <typename K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overload only participates in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
@@ -1290,7 +1291,7 @@ template<class K>
[horizontal]
Returns:;; A range containing all elements with key equivalent to `k`. If the container doesn't contain any such elements, returns `std::make_pair(b.end(), b.end())`.
Notes:;; The `template <typename K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
Notes:;; The `template<class K>` overloads only participate in overload resolution if `Hash::is_transparent` and `Pred::is_transparent` are valid member typedefs. The library assumes that `Hash` is callable with both `K` and `Key` and that `Pred` is transparent. This enables heterogeneous lookup which avoids the cost of instantiating an instance of the `Key` type.
---
+269 -85
View File
@@ -15,6 +15,7 @@
#ifndef BOOST_UNORDERED_CONCURRENT_FLAT_MAP_HPP
#define BOOST_UNORDERED_CONCURRENT_FLAT_MAP_HPP
#include <boost/unordered/concurrent_flat_map_fwd.hpp>
#include <boost/unordered/detail/foa/concurrent_table.hpp>
#include <boost/unordered/detail/type_traits.hpp>
@@ -37,6 +38,24 @@
boost::unordered::detail::is_invocable<F, value_type const&>::value, \
"The provided Callable must be invocable with `value_type const&`");
#if BOOST_CXX_VERSION >= 202002L
#define BOOST_UNORDERED_STATIC_ASSERT_EXEC_POLICY(P) \
static_assert(!std::is_base_of<std::execution::parallel_unsequenced_policy, \
ExecPolicy>::value, \
"ExecPolicy must be sequenced."); \
static_assert( \
!std::is_base_of<std::execution::unsequenced_policy, ExecPolicy>::value, \
"ExecPolicy must be sequenced.");
#else
#define BOOST_UNORDERED_STATIC_ASSERT_EXEC_POLICY(P) \
static_assert(!std::is_base_of<std::execution::parallel_unsequenced_policy, \
ExecPolicy>::value, \
"ExecPolicy must be sequenced.");
#endif
#define BOOST_UNORDERED_COMMA ,
#define BOOST_UNORDERED_LAST_ARG(Arg, Args) \
@@ -116,16 +135,22 @@ namespace boost {
};
} // namespace detail
template <class Key, class T, class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Allocator = std::allocator<std::pair<Key const, T> > >
template <class Key, class T, class Hash, class Pred, class Allocator>
class concurrent_flat_map
{
private:
template <class Key2, class T2, class Hash2, class Pred2,
class Allocator2>
friend class concurrent_flat_map;
using type_policy = detail::concurrent_map_types<Key, T>;
detail::foa::concurrent_table<type_policy, Hash, Pred, Allocator> table_;
template <class K, class V, class H, class KE, class A>
bool friend operator==(concurrent_flat_map<K, V, H, KE, A> const& lhs,
concurrent_flat_map<K, V, H, KE, A> const& rhs);
public:
using key_type = Key;
using mapped_type = T;
@@ -258,6 +283,21 @@ namespace boost {
return *this;
}
concurrent_flat_map& operator=(concurrent_flat_map&& rhs)
noexcept(boost::allocator_is_always_equal<Allocator>::type::value ||
boost::allocator_propagate_on_container_move_assignment<
Allocator>::type::value)
{
table_ = std::move(rhs.table_);
return *this;
}
concurrent_flat_map& operator=(std::initializer_list<value_type> ilist)
{
table_ = ilist;
return *this;
}
/// Capacity
///
@@ -269,21 +309,21 @@ namespace boost {
}
template <class F>
BOOST_FORCEINLINE std::size_t visit(key_type const& k, F f)
BOOST_FORCEINLINE size_type visit(key_type const& k, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
return table_.visit(k, f);
}
template <class F>
BOOST_FORCEINLINE std::size_t visit(key_type const& k, F f) const
BOOST_FORCEINLINE size_type visit(key_type const& k, F f) const
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
return table_.visit(k, f);
}
template <class F>
BOOST_FORCEINLINE std::size_t cvisit(key_type const& k, F f) const
BOOST_FORCEINLINE size_type cvisit(key_type const& k, F f) const
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
return table_.visit(k, f);
@@ -291,7 +331,7 @@ namespace boost {
template <class K, class F>
BOOST_FORCEINLINE typename std::enable_if<
detail::are_transparent<K, hasher, key_equal>::value, std::size_t>::type
detail::are_transparent<K, hasher, key_equal>::value, size_type>::type
visit(K&& k, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
@@ -300,7 +340,7 @@ namespace boost {
template <class K, class F>
BOOST_FORCEINLINE typename std::enable_if<
detail::are_transparent<K, hasher, key_equal>::value, std::size_t>::type
detail::are_transparent<K, hasher, key_equal>::value, size_type>::type
visit(K&& k, F f) const
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
@@ -309,26 +349,26 @@ namespace boost {
template <class K, class F>
BOOST_FORCEINLINE typename std::enable_if<
detail::are_transparent<K, hasher, key_equal>::value, std::size_t>::type
detail::are_transparent<K, hasher, key_equal>::value, size_type>::type
cvisit(K&& k, F f) const
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
return table_.visit(std::forward<K>(k), f);
}
template <class F> BOOST_FORCEINLINE std::size_t visit_all(F f)
template <class F> size_type visit_all(F f)
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
return table_.visit_all(f);
}
template <class F> BOOST_FORCEINLINE std::size_t visit_all(F f) const
template <class F> size_type visit_all(F f) const
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
return table_.visit_all(f);
}
template <class F> BOOST_FORCEINLINE std::size_t cvisit_all(F f) const
template <class F> size_type cvisit_all(F f) const
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
return table_.cvisit_all(f);
@@ -336,32 +376,32 @@ namespace boost {
#if defined(BOOST_UNORDERED_PARALLEL_ALGORITHMS)
template <class ExecPolicy, class F>
BOOST_FORCEINLINE
typename std::enable_if<detail::is_execution_policy<ExecPolicy>::value,
void>::type
visit_all(ExecPolicy p, F f)
typename std::enable_if<detail::is_execution_policy<ExecPolicy>::value,
void>::type
visit_all(ExecPolicy&& p, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
BOOST_UNORDERED_STATIC_ASSERT_EXEC_POLICY(ExecPolicy)
table_.visit_all(p, f);
}
template <class ExecPolicy, class F>
BOOST_FORCEINLINE
typename std::enable_if<detail::is_execution_policy<ExecPolicy>::value,
void>::type
visit_all(ExecPolicy p, F f) const
typename std::enable_if<detail::is_execution_policy<ExecPolicy>::value,
void>::type
visit_all(ExecPolicy&& p, F f) const
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
BOOST_UNORDERED_STATIC_ASSERT_EXEC_POLICY(ExecPolicy)
table_.visit_all(p, f);
}
template <class ExecPolicy, class F>
BOOST_FORCEINLINE
typename std::enable_if<detail::is_execution_policy<ExecPolicy>::value,
void>::type
cvisit_all(ExecPolicy p, F f) const
typename std::enable_if<detail::is_execution_policy<ExecPolicy>::value,
void>::type
cvisit_all(ExecPolicy&& p, F f) const
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
BOOST_UNORDERED_STATIC_ASSERT_EXEC_POLICY(ExecPolicy)
table_.cvisit_all(p, f);
}
#endif
@@ -369,33 +409,27 @@ namespace boost {
/// Modifiers
///
BOOST_FORCEINLINE bool insert(value_type const& obj)
template <class Ty>
BOOST_FORCEINLINE auto insert(Ty&& value)
-> decltype(table_.insert(std::forward<Ty>(value)))
{
return table_.insert(obj);
}
BOOST_FORCEINLINE bool insert(value_type&& obj)
{
return table_.insert(std::move(obj));
return table_.insert(std::forward<Ty>(value));
}
BOOST_FORCEINLINE bool insert(init_type const& obj)
{
return table_.insert(obj);
}
BOOST_FORCEINLINE bool insert(init_type&& obj)
{
return table_.insert(std::move(obj));
}
template <class InputIterator>
BOOST_FORCEINLINE void insert(InputIterator begin, InputIterator end)
void insert(InputIterator begin, InputIterator end)
{
for (auto pos = begin; pos != end; ++pos) {
table_.insert(*pos);
}
}
BOOST_FORCEINLINE void insert(std::initializer_list<value_type> ilist)
void insert(std::initializer_list<value_type> ilist)
{
this->insert(ilist.begin(), ilist.end());
}
@@ -424,25 +458,11 @@ namespace boost {
[&](value_type& m) { m.second = std::forward<M>(obj); });
}
template <class F>
BOOST_FORCEINLINE bool insert_or_visit(value_type const& obj, F f)
template <class Ty, class F>
BOOST_FORCEINLINE auto insert_or_visit(Ty&& value, F f)
-> decltype(table_.insert_or_visit(std::forward<Ty>(value), f))
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
return table_.insert_or_visit(obj, f);
}
template <class F>
BOOST_FORCEINLINE bool insert_or_visit(value_type&& obj, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
return table_.insert_or_visit(std::move(obj), f);
}
template <class F>
BOOST_FORCEINLINE bool insert_or_visit(init_type const& obj, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
return table_.insert_or_visit(obj, f);
return table_.insert_or_visit(std::forward<Ty>(value), f);
}
template <class F>
@@ -453,8 +473,7 @@ namespace boost {
}
template <class InputIterator, class F>
BOOST_FORCEINLINE void insert_or_visit(
InputIterator first, InputIterator last, F f)
void insert_or_visit(InputIterator first, InputIterator last, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
for (; first != last; ++first) {
@@ -463,32 +482,18 @@ namespace boost {
}
template <class F>
BOOST_FORCEINLINE void insert_or_visit(
std::initializer_list<value_type> ilist, F f)
void insert_or_visit(std::initializer_list<value_type> ilist, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE(F)
this->insert_or_visit(ilist.begin(), ilist.end(), f);
}
template <class F>
BOOST_FORCEINLINE bool insert_or_cvisit(value_type const& obj, F f)
template <class Ty, class F>
BOOST_FORCEINLINE auto insert_or_cvisit(Ty&& value, F f)
-> decltype(table_.insert_or_cvisit(std::forward<Ty>(value), f))
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
return table_.insert_or_cvisit(obj, f);
}
template <class F>
BOOST_FORCEINLINE bool insert_or_cvisit(value_type&& obj, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
return table_.insert_or_cvisit(std::move(obj), f);
}
template <class F>
BOOST_FORCEINLINE bool insert_or_cvisit(init_type const& obj, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
return table_.insert_or_cvisit(obj, f);
return table_.insert_or_cvisit(std::forward<Ty>(value), f);
}
template <class F>
@@ -499,8 +504,7 @@ namespace boost {
}
template <class InputIterator, class F>
BOOST_FORCEINLINE void insert_or_cvisit(
InputIterator first, InputIterator last, F f)
void insert_or_cvisit(InputIterator first, InputIterator last, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
for (; first != last; ++first) {
@@ -509,8 +513,7 @@ namespace boost {
}
template <class F>
BOOST_FORCEINLINE void insert_or_cvisit(
std::initializer_list<value_type> ilist, F f)
void insert_or_cvisit(std::initializer_list<value_type> ilist, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE(F)
this->insert_or_visit(ilist.begin(), ilist.end(), f);
@@ -643,22 +646,77 @@ namespace boost {
#if defined(BOOST_UNORDERED_PARALLEL_ALGORITHMS)
template <class ExecPolicy, class F>
BOOST_FORCEINLINE
typename std::enable_if<detail::is_execution_policy<ExecPolicy>::value,
void>::type
erase_if(ExecPolicy p, F f)
typename std::enable_if<detail::is_execution_policy<ExecPolicy>::value,
void>::type
erase_if(ExecPolicy&& p, F f)
{
BOOST_UNORDERED_STATIC_ASSERT_EXEC_POLICY(ExecPolicy)
table_.erase_if(p, f);
}
#endif
template <class F> BOOST_FORCEINLINE size_type erase_if(F f)
template <class F> size_type erase_if(F f) { return table_.erase_if(f); }
void swap(concurrent_flat_map& other) noexcept(
boost::allocator_is_always_equal<Allocator>::type::value ||
boost::allocator_propagate_on_container_swap<Allocator>::type::value)
{
return table_.erase_if(f);
return table_.swap(other.table_);
}
void clear() noexcept { table_.clear(); }
template <typename H2, typename P2>
size_type merge(concurrent_flat_map<Key, T, H2, P2, Allocator>& x)
{
BOOST_ASSERT(get_allocator() == x.get_allocator());
return table_.merge(x.table_);
}
template <typename H2, typename P2>
size_type merge(concurrent_flat_map<Key, T, H2, P2, Allocator>&& x)
{
return merge(x);
}
BOOST_FORCEINLINE size_type count(key_type const& k) const
{
return table_.count(k);
}
template <class K>
BOOST_FORCEINLINE typename std::enable_if<
detail::are_transparent<K, hasher, key_equal>::value, size_type>::type
count(K const& k)
{
return table_.count(k);
}
BOOST_FORCEINLINE bool contains(key_type const& k) const
{
return table_.contains(k);
}
template <class K>
BOOST_FORCEINLINE typename std::enable_if<
detail::are_transparent<K, hasher, key_equal>::value, bool>::type
contains(K const& k) const
{
return table_.contains(k);
}
/// Hash Policy
///
size_type bucket_count() const noexcept { return table_.capacity(); }
float load_factor() const noexcept { return table_.load_factor(); }
float max_load_factor() const noexcept
{
return table_.max_load_factor();
};
void max_load_factor(float) {}
size_type max_load() const noexcept { return table_.max_load(); }
void rehash(size_type n) { table_.rehash(n); }
void reserve(size_type n) { table_.reserve(n); }
@@ -672,11 +730,137 @@ namespace boost {
hasher hash_function() const { return table_.hash_function(); }
key_equal key_eq() const { return table_.key_eq(); }
};
template <class Key, class T, class Hash, class KeyEqual, class Allocator>
bool operator==(
concurrent_flat_map<Key, T, Hash, KeyEqual, Allocator> const& lhs,
concurrent_flat_map<Key, T, Hash, KeyEqual, Allocator> const& rhs)
{
return lhs.table_ == rhs.table_;
}
template <class Key, class T, class Hash, class KeyEqual, class Allocator>
bool operator!=(
concurrent_flat_map<Key, T, Hash, KeyEqual, Allocator> const& lhs,
concurrent_flat_map<Key, T, Hash, KeyEqual, Allocator> const& rhs)
{
return !(lhs == rhs);
}
template <class Key, class T, class Hash, class Pred, class Alloc>
void swap(concurrent_flat_map<Key, T, Hash, Pred, Alloc>& x,
concurrent_flat_map<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)))
{
x.swap(y);
}
template <class K, class T, class H, class P, class A, class Predicate>
typename concurrent_flat_map<K, T, H, P, A>::size_type erase_if(
concurrent_flat_map<K, T, H, P, A>& c, Predicate pred)
{
return c.erase_if(pred);
}
#if BOOST_UNORDERED_TEMPLATE_DEDUCTION_GUIDES
template <class InputIterator,
class Hash =
boost::hash<boost::unordered::detail::iter_key_t<InputIterator> >,
class Pred =
std::equal_to<boost::unordered::detail::iter_key_t<InputIterator> >,
class Allocator = std::allocator<
boost::unordered::detail::iter_to_alloc_t<InputIterator> >,
class = boost::enable_if_t<detail::is_input_iterator_v<InputIterator> >,
class = boost::enable_if_t<detail::is_hash_v<Hash> >,
class = boost::enable_if_t<detail::is_pred_v<Pred> >,
class = boost::enable_if_t<detail::is_allocator_v<Allocator> > >
concurrent_flat_map(InputIterator, InputIterator,
std::size_t = boost::unordered::detail::foa::default_bucket_count,
Hash = Hash(), Pred = Pred(), Allocator = Allocator())
-> concurrent_flat_map<
boost::unordered::detail::iter_key_t<InputIterator>,
boost::unordered::detail::iter_val_t<InputIterator>, Hash, Pred,
Allocator>;
template <class Key, class T,
class Hash = boost::hash<boost::remove_const_t<Key> >,
class Pred = std::equal_to<boost::remove_const_t<Key> >,
class Allocator = std::allocator<std::pair<const Key, T> >,
class = boost::enable_if_t<detail::is_hash_v<Hash> >,
class = boost::enable_if_t<detail::is_pred_v<Pred> >,
class = boost::enable_if_t<detail::is_allocator_v<Allocator> > >
concurrent_flat_map(std::initializer_list<std::pair<Key, T> >,
std::size_t = boost::unordered::detail::foa::default_bucket_count,
Hash = Hash(), Pred = Pred(), Allocator = Allocator())
-> concurrent_flat_map<boost::remove_const_t<Key>, T, Hash, Pred,
Allocator>;
template <class InputIterator, class Allocator,
class = boost::enable_if_t<detail::is_input_iterator_v<InputIterator> >,
class = boost::enable_if_t<detail::is_allocator_v<Allocator> > >
concurrent_flat_map(InputIterator, InputIterator, std::size_t, Allocator)
-> concurrent_flat_map<
boost::unordered::detail::iter_key_t<InputIterator>,
boost::unordered::detail::iter_val_t<InputIterator>,
boost::hash<boost::unordered::detail::iter_key_t<InputIterator> >,
std::equal_to<boost::unordered::detail::iter_key_t<InputIterator> >,
Allocator>;
template <class InputIterator, class Allocator,
class = boost::enable_if_t<detail::is_input_iterator_v<InputIterator> >,
class = boost::enable_if_t<detail::is_allocator_v<Allocator> > >
concurrent_flat_map(InputIterator, InputIterator, Allocator)
-> concurrent_flat_map<
boost::unordered::detail::iter_key_t<InputIterator>,
boost::unordered::detail::iter_val_t<InputIterator>,
boost::hash<boost::unordered::detail::iter_key_t<InputIterator> >,
std::equal_to<boost::unordered::detail::iter_key_t<InputIterator> >,
Allocator>;
template <class InputIterator, class Hash, class Allocator,
class = boost::enable_if_t<detail::is_hash_v<Hash> >,
class = boost::enable_if_t<detail::is_input_iterator_v<InputIterator> >,
class = boost::enable_if_t<detail::is_allocator_v<Allocator> > >
concurrent_flat_map(
InputIterator, InputIterator, std::size_t, Hash, Allocator)
-> concurrent_flat_map<
boost::unordered::detail::iter_key_t<InputIterator>,
boost::unordered::detail::iter_val_t<InputIterator>, Hash,
std::equal_to<boost::unordered::detail::iter_key_t<InputIterator> >,
Allocator>;
template <class Key, class T, class Allocator,
class = boost::enable_if_t<detail::is_allocator_v<Allocator> > >
concurrent_flat_map(std::initializer_list<std::pair<Key, T> >, std::size_t,
Allocator) -> concurrent_flat_map<boost::remove_const_t<Key>, T,
boost::hash<boost::remove_const_t<Key> >,
std::equal_to<boost::remove_const_t<Key> >, Allocator>;
template <class Key, class T, class Allocator,
class = boost::enable_if_t<detail::is_allocator_v<Allocator> > >
concurrent_flat_map(std::initializer_list<std::pair<Key, T> >, Allocator)
-> concurrent_flat_map<boost::remove_const_t<Key>, T,
boost::hash<boost::remove_const_t<Key> >,
std::equal_to<boost::remove_const_t<Key> >, Allocator>;
template <class Key, class T, class Hash, class Allocator,
class = boost::enable_if_t<detail::is_hash_v<Hash> >,
class = boost::enable_if_t<detail::is_allocator_v<Allocator> > >
concurrent_flat_map(std::initializer_list<std::pair<Key, T> >, std::size_t,
Hash, Allocator) -> concurrent_flat_map<boost::remove_const_t<Key>, T,
Hash, std::equal_to<boost::remove_const_t<Key> >, Allocator>;
#endif
} // namespace unordered
using unordered::concurrent_flat_map;
} // namespace boost
#undef BOOST_UNORDERED_STATIC_ASSERT_INVOCABLE
#undef BOOST_UNORDERED_STATIC_ASSERT_CONST_INVOCABLE
#undef BOOST_UNORDERED_STATIC_ASSERT_EXEC_POLICY
#undef BOOST_UNORDERED_COMMA
#undef BOOST_UNORDERED_LAST_ARG
#undef BOOST_UNORDERED_STATIC_ASSERT_LAST_ARG_INVOCABLE
@@ -0,0 +1,58 @@
/* Fast open-addressing concurrent hash table.
*
* Copyright 2023 Christian Mazakas.
* 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)
*
* See https://www.boost.org/libs/unordered for library home page.
*/
/* Reference:
* https://github.com/joaquintides/concurrent_hashmap_api#proposed-synopsis
*/
#ifndef BOOST_UNORDERED_CONCURRENT_FLAT_MAP_FWD_HPP
#define BOOST_UNORDERED_CONCURRENT_FLAT_MAP_FWD_HPP
#include <boost/container_hash/hash_fwd.hpp>
#include <functional>
#include <memory>
namespace boost {
namespace unordered {
template <class Key, class T, class Hash = boost::hash<Key>,
class Pred = std::equal_to<Key>,
class Allocator = std::allocator<std::pair<Key const, T> > >
class concurrent_flat_map;
template <class Key, class T, class Hash, class KeyEqual, class Allocator>
bool operator==(
concurrent_flat_map<Key, T, Hash, KeyEqual, Allocator> const& lhs,
concurrent_flat_map<Key, T, Hash, KeyEqual, Allocator> const& rhs);
template <class Key, class T, class Hash, class KeyEqual, class Allocator>
bool operator!=(
concurrent_flat_map<Key, T, Hash, KeyEqual, Allocator> const& lhs,
concurrent_flat_map<Key, T, Hash, KeyEqual, Allocator> const& rhs);
template <class Key, class T, class Hash, class Pred, class Alloc>
void swap(concurrent_flat_map<Key, T, Hash, Pred, Alloc>& x,
concurrent_flat_map<Key, T, Hash, Pred, Alloc>& y)
noexcept(noexcept(x.swap(y)));
template <class K, class T, class H, class P, class A, class Predicate>
typename concurrent_flat_map<K, T, H, P, A>::size_type erase_if(
concurrent_flat_map<K, T, H, P, A>& c, Predicate pred);
} // namespace unordered
using boost::unordered::concurrent_flat_map;
using boost::unordered::swap;
using boost::unordered::operator==;
using boost::unordered::operator!=;
} // namespace boost
#endif // BOOST_UNORDERED_CONCURRENT_FLAT_MAP_HPP
@@ -14,19 +14,23 @@
#include <atomic>
#include <boost/assert.hpp>
#include <boost/config.hpp>
#include <boost/core/ignore_unused.hpp>
#include <boost/core/no_exceptions_support.hpp>
#include <boost/cstdint.hpp>
#include <boost/mp11/tuple.hpp>
#include <boost/static_assert.hpp>
#include <boost/unordered/detail/foa/core.hpp>
#include <boost/unordered/detail/foa/rw_spinlock.hpp>
#include <boost/unordered/detail/foa/tuple_rotate_right.hpp>
#include <cstddef>
#include <functional>
#include <initializer_list>
#include <memory>
#include <new>
#include <type_traits>
#include <tuple>
#include <utility>
#include "oneapi/tbb/spin_rw_mutex.h"
#if !defined(BOOST_UNORDERED_DISABLE_PARALLEL_ALGORITHMS)
#if defined(BOOST_UNORDERED_ENABLE_PARALLEL_ALGORITHMS)|| \
@@ -62,20 +66,35 @@ using is_execution_policy=std::false_type;
namespace foa{
#if defined(BOOST_MSVC)
#pragma warning(push)
#pragma warning(disable:4324) /* padded structure due to alignas */
#endif
static constexpr std::size_t cacheline_size=64;
template<typename T>
struct alignas(64) cacheline_protected:T
template<typename T,std::size_t N>
class cache_aligned_array
{
using T::T;
};
public:
cache_aligned_array(){for(std::size_t n=0;n<N;)::new (data(n++)) T();}
~cache_aligned_array(){for(auto n=N;n>0;)data(n--)->~T();}
cache_aligned_array(const cache_aligned_array&)=delete;
cache_aligned_array& operator=(const cache_aligned_array&)=delete;
#if defined(BOOST_MSVC)
#pragma warning(pop) /* C4324 */
#endif
T& operator[](std::size_t pos)noexcept{return *data(pos);}
private:
static constexpr std::size_t element_offset=
(sizeof(T)+cacheline_size-1)/cacheline_size*cacheline_size;
BOOST_STATIC_ASSERT(alignof(T)<=cacheline_size);
T* data(std::size_t pos)noexcept
{
return reinterpret_cast<T*>(
(reinterpret_cast<uintptr_t>(&buf)+cacheline_size-1)/
cacheline_size*cacheline_size
+pos*element_offset);
}
unsigned char buf[element_offset*N+cacheline_size-1];
};
template<typename Mutex,std::size_t N>
class multimutex
@@ -93,7 +112,7 @@ public:
void unlock()noexcept{for(auto n=N;n>0;)mutexes[--n].unlock();}
private:
Mutex mutexes[N];
cache_aligned_array<Mutex,N> mutexes;
};
/* std::shared_lock is C++14 */
@@ -193,7 +212,7 @@ struct atomic_integral
struct group_access
{
using mutex_type=rw_spinlock;
using mutex_type=tbb::spin_rw_mutex;
using shared_lock_guard=shared_lock<mutex_type>;
using exclusive_lock_guard=lock_guard<mutex_type>;
using insert_counter_type=std::atomic<boost::uint32_t>;
@@ -282,6 +301,40 @@ struct concurrent_table_arrays:table_arrays<Value,Group,SizePolicy>
group_access *group_accesses;
};
struct atomic_size_control
{
static constexpr auto atomic_size_t_size=sizeof(std::atomic<std::size_t>);
BOOST_STATIC_ASSERT(atomic_size_t_size<cacheline_size);
atomic_size_control(std::size_t ml_,std::size_t size_):
pad0_{},ml{ml_},pad1_{},size{size_}{}
atomic_size_control(atomic_size_control& x):
pad0_{},ml{x.ml.load()},pad1_{},size{x.size.load()}{}
/* padding to avoid false sharing internally and with sorrounding data */
unsigned char pad0_[cacheline_size-atomic_size_t_size];
std::atomic<std::size_t> ml;
unsigned char pad1_[cacheline_size-atomic_size_t_size];
std::atomic<std::size_t> size;
};
/* std::swap can't be used on non-assignable atomics */
inline void
swap_atomic_size_t(std::atomic<std::size_t>& x,std::atomic<std::size_t>& y)
{
std::size_t tmp=x;
x=static_cast<std::size_t>(y);
y=tmp;
}
inline void swap(atomic_size_control& x,atomic_size_control& y)
{
swap_atomic_size_t(x.ml,y.ml);
swap_atomic_size_t(x.size,y.size);
}
/* foa::concurrent_table serves as the foundation for end-user concurrent
* hash containers. The TypePolicy parameter can specify flat/node-based
* map-like and set-like containers, though currently we're only providing
@@ -342,7 +395,7 @@ struct concurrent_table_arrays:table_arrays<Value,Group,SizePolicy>
template <typename TypePolicy,typename Hash,typename Pred,typename Allocator>
using concurrent_table_core_impl=table_core<
TypePolicy,group15<atomic_integral>,concurrent_table_arrays,
std::atomic<std::size_t>,Hash,Pred,Allocator>;
atomic_size_control,Hash,Pred,Allocator>;
#include <boost/unordered/detail/foa/ignore_wshadow.hpp>
@@ -361,6 +414,10 @@ class concurrent_table:
using super::N;
using prober=typename super::prober;
template<
typename TypePolicy2,typename Hash2,typename Pred2,typename Allocator2>
friend class concurrent_table;
public:
using key_type=typename super::key_type;
using init_type=typename super::init_type;
@@ -410,6 +467,16 @@ public:
return *this;
}
concurrent_table& operator=(std::initializer_list<value_type> il) {
auto lck=exclusive_access();
super::clear();
super::noshrink_reserve(il.size());
for (auto const& v : il) {
this->unprotected_emplace(v);
}
return *this;
}
allocator_type get_allocator()const noexcept
{
auto lck=shared_access();
@@ -672,17 +739,22 @@ public:
// TODO: should we accept different allocator too?
template<typename Hash2,typename Pred2>
void merge(concurrent_table<TypePolicy,Hash2,Pred2,Allocator>& x)
size_type merge(concurrent_table<TypePolicy,Hash2,Pred2,Allocator>& x)
{
// TODO: consider grabbing shared access on *this at this level
// TODO: can deadlock if x1.merge(x2) while x2.merge(x1)
auto lck=x.shared_access();
x.for_all_elements(
group_exclusive{},
using merge_table_type=concurrent_table<TypePolicy,Hash2,Pred2,Allocator>;
using super2=typename merge_table_type::super;
// for clang
boost::ignore_unused<super2>();
auto lck=exclusive_access(*this,x);
size_type s=super::size();
x.super2::for_all_elements( /* super2::for_all_elements -> unprotected */
[&,this](group_type* pg,unsigned int n,element_type* p){
erase_on_exit e{x,pg,n,p};
if(!emplace_impl(type_policy::move(*p)))e.rollback();
typename merge_table_type::erase_on_exit e{x,pg,n,p};
if(!unprotected_emplace(type_policy::move(*p)))e.rollback();
});
return size_type{super::size()-s};
}
template<typename Hash2,typename Pred2>
@@ -709,7 +781,7 @@ public:
template<typename Key>
BOOST_FORCEINLINE bool contains(Key&& x)const
{
return visit(std::forward<Key>(x),[](const value_type&){});
return visit(std::forward<Key>(x),[](const value_type&){})!=0;
}
std::size_t capacity()const noexcept
@@ -752,8 +824,19 @@ public:
return x.erase_if(std::forward<Predicate>(pr));
}
friend bool operator==(const concurrent_table& x,const concurrent_table& y)
{
auto lck=exclusive_access(x,y);
return static_cast<const super&>(x)==static_cast<const super&>(y);
}
friend bool operator!=(const concurrent_table& x,const concurrent_table& y)
{
return !(x==y);
}
private:
using mutex_type=cacheline_protected<rw_spinlock>;
using mutex_type=rw_spinlock;
using multimutex_type=multimutex<mutex_type,128>; // TODO: adapt 128 to the machine
using shared_lock_guard=shared_lock<mutex_type>;
using exclusive_lock_guard=lock_guard<multimutex_type>;
@@ -785,12 +868,20 @@ private:
return exclusive_lock_guard{mutexes};
}
inline exclusive_bilock_guard exclusive_access(
static inline exclusive_bilock_guard exclusive_access(
const concurrent_table& x,const concurrent_table& y)
{
return {x.mutexes,y.mutexes};
}
template<typename Hash2,typename Pred2>
static inline exclusive_bilock_guard exclusive_access(
const concurrent_table& x,
const concurrent_table<TypePolicy,Hash2,Pred2,Allocator>& y)
{
return {x.mutexes,y.mutexes};
}
/* Tag-dispatched shared/exclusive group access */
using group_shared=std::false_type;
@@ -909,7 +1000,7 @@ private:
auto mask=pg->match(hash);
if(mask){
auto p=this->arrays.elements+pos*N;
this->prefetch_elements(p);
BOOST_UNORDERED_PREFETCH_ELEMENTS(p,N);
auto lck=access(access_mode,pos);
do{
auto n=unchecked_countr_zero(mask);
@@ -935,8 +1026,8 @@ private:
std::size_t unprotected_size()const
{
std::size_t m=this->ml;
std::size_t s=this->size_;
std::size_t m=this->size_ctrl.ml;
std::size_t s=this->size_ctrl.size;
return s<=m?s:m;
}
@@ -1043,19 +1134,37 @@ private:
}
}
template<typename... Args>
BOOST_FORCEINLINE bool unprotected_emplace(Args&&... args)
{
const auto &k=this->key_from(std::forward<Args>(args)...);
auto hash=this->hash_for(k);
auto pos0=this->position_for(hash);
if(this->find(k,pos0,hash))return false;
if(BOOST_LIKELY(this->size_ctrl.size<this->size_ctrl.ml)){
this->unchecked_emplace_at(pos0,hash,std::forward<Args>(args)...);
}
else{
this->unchecked_emplace_with_rehash(hash,std::forward<Args>(args)...);
}
return true;
}
struct reserve_size
{
reserve_size(concurrent_table& x_):x{x_}
{
size_=++x.size_;
size_=++x.size_ctrl.size;
}
~reserve_size()
{
if(!commit_)--x.size_;
if(!commit_)--x.size_ctrl.size;
}
bool succeeded()const{return size_<=x.ml;}
bool succeeded()const{return size_<=x.size_ctrl.ml;}
void commit(){commit_=true;}
@@ -1089,9 +1198,9 @@ private:
unprotected_norehash_emplace_or_visit(
GroupAccessMode access_mode,F&& f,Args&&... args)
{
const auto &k=this->key_from(std::forward<Args>(args)...);
auto hash=this->hash_for(k);
auto pos0=this->position_for(hash);
const auto &k=this->key_from(std::forward<Args>(args)...);
auto hash=this->hash_for(k);
auto pos0=this->position_for(hash);
for(;;){
startover:
@@ -1129,7 +1238,9 @@ private:
void rehash_if_full()
{
auto lck=exclusive_access();
if(this->size_==this->ml)this->unchecked_rehash_for_growth();
if(this->size_ctrl.size==this->size_ctrl.ml){
this->unchecked_rehash_for_growth();
}
}
template<typename GroupAccessMode,typename F>
+174 -104
View File
@@ -36,6 +36,7 @@
#include <cstring>
#include <limits>
#include <memory>
#include <new>
#include <tuple>
#include <type_traits>
#include <utility>
@@ -85,6 +86,42 @@
}while(0)
#endif
/* We use BOOST_UNORDERED_PREFETCH[_ELEMENTS] macros rather than proper
* functions because of https://gcc.gnu.org/bugzilla/show_bug.cgi?id=109985
*/
#if defined(BOOST_GCC)||defined(BOOST_CLANG)
#define BOOST_UNORDERED_PREFETCH(p) __builtin_prefetch((const char*)(p))
#elif defined(BOOST_UNORDERED_SSE2)
#define BOOST_UNORDERED_PREFETCH(p) _mm_prefetch((const char*)(p),_MM_HINT_T0)
#else
#define BOOST_UNORDERED_PREFETCH(p) ((void)0)
#endif
/* We have experimentally confirmed that ARM architectures get a higher
* speedup when around the first half of the element slots in a group are
* prefetched, whereas for Intel just the first cache line is best.
* Please report back if you find better tunings for some particular
* architectures.
*/
#if BOOST_ARCH_ARM
/* Cache line size can't be known at compile time, so we settle on
* the very frequent value of 64B.
*/
#define BOOST_UNORDERED_PREFETCH_ELEMENTS(p,N) \
do{ \
auto BOOST_UNORDERED_P=(p); \
constexpr int cache_line=64; \
const char *p0=reinterpret_cast<const char*>(BOOST_UNORDERED_P), \
*p1=p0+sizeof(*BOOST_UNORDERED_P)*(N)/2; \
for(;p0<p1;p0+=cache_line)BOOST_UNORDERED_PREFETCH(p0); \
}while(0)
#else
#define BOOST_UNORDERED_PREFETCH_ELEMENTS(p,N) BOOST_UNORDERED_PREFETCH(p)
#endif
#ifdef __has_feature
#define BOOST_UNORDERED_HAS_FEATURE(x) __has_feature(x)
#else
@@ -111,7 +148,7 @@ static constexpr std::size_t default_bucket_count=0;
/* foa::table_core is the common base of foa::table and foa::concurrent_table,
* which in their turn serve as the foundational core of
* boost::unordered_flat_[map|set] and boost::concurrent_flat_map,
* boost::unordered_(flat|node)_(map|set) and boost::concurrent_flat_map,
* respectively. Its main internal design aspects are:
*
* - Element slots are logically split into groups of size N=15. The number
@@ -1037,16 +1074,6 @@ void swap_if(T& x,T& y){using std::swap; swap(x,y);}
template<bool B,typename T,typename std::enable_if<!B>::type* =nullptr>
void swap_if(T&,T&){}
inline void prefetch(const void* p)
{
(void) p;
#if defined(BOOST_GCC)||defined(BOOST_CLANG)
__builtin_prefetch((const char*)p);
#elif defined(BOOST_UNORDERED_SSE2)
_mm_prefetch((const char*)p,_MM_HINT_T0);
#endif
}
template<typename Allocator>
struct is_std_allocator:std::false_type{};
@@ -1097,9 +1124,14 @@ static constexpr float mlf=0.875f;
template<typename Group,typename Element>
struct table_locator
{
Group *pg;
unsigned int n;
Element *p;
table_locator()=default;
table_locator(Group* pg_,unsigned int n_,Element* p_):pg{pg_},n{n_},p{p_}{}
explicit operator bool()const noexcept{return p!=nullptr;}
Group *pg=nullptr;
unsigned int n=0;
Element *p=nullptr;
};
struct try_emplace_args_t{};
@@ -1202,7 +1234,7 @@ alloc_make_insert_type(const Allocator& al,Args&&... args)
template<
typename TypePolicy,typename Group,template<typename...> class Arrays,
typename SizeImpl,typename Hash,typename Pred,typename Allocator
typename SizeControl,typename Hash,typename Pred,typename Allocator
>
class
@@ -1226,7 +1258,7 @@ public:
using alloc_traits=boost::allocator_traits<Allocator>;
using element_type=typename type_policy::element_type;
using arrays_type=Arrays<element_type,group_type,size_policy>;
using size_impl_type=SizeImpl;
using size_ctrl_type=SizeControl;
using key_type=typename type_policy::key_type;
using init_type=typename type_policy::init_type;
@@ -1247,7 +1279,7 @@ public:
const Pred& pred_=Pred(),const Allocator& al_=Allocator()):
hash_base{empty_init,h_},pred_base{empty_init,pred_},
allocator_base{empty_init,al_},arrays(new_arrays(n)),
ml{initial_max_load()},size_{0}
size_ctrl{initial_max_load(),0}
{}
table_core(const table_core& x):
@@ -1261,11 +1293,11 @@ public:
hash_base{empty_init,std::move(x.h())},
pred_base{empty_init,std::move(x.pred())},
allocator_base{empty_init,std::move(x.al())},
arrays(x.arrays),ml{std::size_t(x.ml)},size_{std::size_t(x.size_)}
arrays(x.arrays),size_ctrl(x.size_ctrl)
{
x.arrays=x.new_arrays(0);
x.ml=x.initial_max_load();
x.size_=0;
x.size_ctrl.ml=x.initial_max_load();
x.size_ctrl.size=0;
}
table_core(const table_core& x,const Allocator& al_):
@@ -1275,15 +1307,12 @@ public:
}
table_core(table_core&& x,const Allocator& al_):
hash_base{empty_init,std::move(x.h())},
pred_base{empty_init,std::move(x.pred())},
allocator_base{empty_init,al_},arrays(new_arrays(0)),
ml{initial_max_load()},size_{0}
table_core{std::move(x.h()),std::move(x.pred()),al_}
{
if(al()==x.al()){
std::swap(arrays,x.arrays);
swap_size_impl(size_,x.size_);
swap_size_impl(ml,x.ml);
using std::swap;
swap(arrays,x.arrays);
swap(size_ctrl,x.size_ctrl);
}
else{
reserve(x.size());
@@ -1381,8 +1410,7 @@ public:
reserve(0);
move_assign_if<pocma>(al(),x.al());
swap(arrays,x.arrays);
swap(ml,x.ml);
swap(size_,x.size_);
swap(size_ctrl,x.size_ctrl);
}
else{
/* noshrink: favor memory reuse over tightness */
@@ -1408,7 +1436,7 @@ public:
allocator_type get_allocator()const noexcept{return al();}
bool empty()const noexcept{return size()==0;}
std::size_t size()const noexcept{return size_;}
std::size_t size()const noexcept{return size_ctrl.size;}
std::size_t max_size()const noexcept{return SIZE_MAX;}
BOOST_FORCEINLINE
@@ -1425,6 +1453,52 @@ public:
recover_slot(pc);
}
template<typename Key>
BOOST_FORCEINLINE locator find(const Key& x)const
{
auto hash=hash_for(x);
return find(x,position_for(hash),hash);
}
#if defined(BOOST_MSVC)
/* warning: forcing value to bool 'true' or 'false' in bool(pred()...) */
#pragma warning(push)
#pragma warning(disable:4800)
#endif
template<typename Key>
BOOST_FORCEINLINE locator find(
const Key& x,std::size_t pos0,std::size_t hash)const
{
prober pb(pos0);
do{
auto pos=pb.get();
auto pg=arrays.groups+pos;
auto mask=pg->match(hash);
if(mask){
BOOST_UNORDERED_ASSUME(arrays.elements!=nullptr);
auto p=arrays.elements+pos*N;
BOOST_UNORDERED_PREFETCH_ELEMENTS(p,N);
do{
auto n=unchecked_countr_zero(mask);
if(BOOST_LIKELY(bool(pred()(x,key_from(p[n]))))){
return {pg,n,p+n};
}
mask&=mask-1;
}while(mask);
}
if(BOOST_LIKELY(pg->is_not_overflowed(hash))){
return {};
}
}
while(BOOST_LIKELY(pb.next(arrays.groups_size_mask)));
return {};
}
#if defined(BOOST_MSVC)
#pragma warning(pop) /* C4800 */
#endif
void swap(table_core& x)
noexcept(
alloc_traits::propagate_on_container_swap::value||
@@ -1447,8 +1521,7 @@ public:
swap(h(),x.h());
swap(pred(),x.pred());
swap(arrays,x.arrays);
swap(ml,x.ml);
swap(size_,x.size_);
swap(size_ctrl,x.size_ctrl);
}
void clear()noexcept
@@ -1466,8 +1539,8 @@ public:
pg->initialize();
}
arrays.groups[arrays.groups_size_mask].set_sentinel();
ml=initial_max_load();
size_=0;
size_ctrl.ml=initial_max_load();
size_ctrl.size=0;
}
}
@@ -1487,7 +1560,7 @@ public:
float max_load_factor()const noexcept{return mlf;}
std::size_t max_load()const noexcept{return ml;}
std::size_t max_load()const noexcept{return size_ctrl.ml;}
void rehash(std::size_t n)
{
@@ -1503,6 +1576,23 @@ public:
rehash(std::size_t(std::ceil(float(n)/mlf)));
}
friend bool operator==(const table_core& x,const table_core& y)
{
return
x.size()==y.size()&&
x.for_all_elements_while([&](element_type* p){
auto loc=y.find(key_from(*p));
return loc&&
const_cast<const value_type&>(type_policy::value_from(*p))==
const_cast<const value_type&>(type_policy::value_from(*loc.p));
});
}
friend bool operator!=(const table_core& x,const table_core& y)
{
return !(x==y);
}
struct clear_on_exit
{
~clear_on_exit(){x.clear();}
@@ -1580,35 +1670,13 @@ public:
return pg->match_occupied()&~(int(pg==last-1)<<(N-1));
}
static inline void prefetch_elements(const element_type* p)
{
/* We have experimentally confirmed that ARM architectures get a higher
* speedup when around the first half of the element slots in a group are
* prefetched, whereas for Intel just the first cache line is best.
* Please report back if you find better tunings for some particular
* architectures.
*/
#if BOOST_ARCH_ARM
/* Cache line size can't be known at compile time, so we settle on
* the very frequent value of 64B.
*/
constexpr int cache_line=64;
const char *p0=reinterpret_cast<const char*>(p),
*p1=p0+sizeof(value_type)*N/2;
for(;p0<p1;p0+=cache_line)prefetch(p0);
#else
prefetch(p);
#endif
}
template<typename... Args>
locator unchecked_emplace_at(
std::size_t pos0,std::size_t hash,Args&&... args)
{
auto res=nosize_unchecked_emplace_at(
arrays,pos0,hash,std::forward<Args>(args)...);
++size_;
++size_ctrl.size;
return res;
}
@@ -1638,10 +1706,28 @@ public:
/* new_arrays_ lifetime taken care of by unchecked_rehash */
unchecked_rehash(new_arrays_);
++size_;
++size_ctrl.size;
return it;
}
void noshrink_reserve(std::size_t n)
{
/* used only on assignment after element clearance */
BOOST_ASSERT(empty());
if(n){
n=std::size_t(std::ceil(float(n)/mlf)); /* elements -> slots */
n=capacity_for(n); /* exact resulting capacity */
if(n>capacity()){
auto new_arrays_=new_arrays(n);
delete_arrays(arrays);
arrays=new_arrays_;
size_ctrl.ml=initial_max_load();
}
}
}
template<typename F>
void for_all_elements(F f)const
{
@@ -1665,39 +1751,40 @@ public:
}
template<typename F>
void for_all_elements_while(F f)const
bool for_all_elements_while(F f)const
{
for_all_elements_while(arrays,f);
return for_all_elements_while(arrays,f);
}
template<typename F>
static auto for_all_elements_while(const arrays_type& arrays_,F f)
->decltype(f(nullptr),void())
->decltype(f(nullptr),bool())
{
for_all_elements_while(
return for_all_elements_while(
arrays_,[&](group_type*,unsigned int,element_type* p){return f(p);});
}
template<typename F>
static auto for_all_elements_while(const arrays_type& arrays_,F f)
->decltype(f(nullptr,0,nullptr),void())
->decltype(f(nullptr,0,nullptr),bool())
{
auto p=arrays_.elements;
if(!p){return;}
for(auto pg=arrays_.groups,last=pg+arrays_.groups_size_mask+1;
pg!=last;++pg,p+=N){
auto mask=match_really_occupied(pg,last);
while(mask){
auto n=unchecked_countr_zero(mask);
if(!f(pg,n,p+n))return;
mask&=mask-1;
if(p){
for(auto pg=arrays_.groups,last=pg+arrays_.groups_size_mask+1;
pg!=last;++pg,p+=N){
auto mask=match_really_occupied(pg,last);
while(mask){
auto n=unchecked_countr_zero(mask);
if(!f(pg,n,p+n))return false;
mask&=mask-1;
}
}
}
return true;
}
arrays_type arrays;
size_impl_type ml;
size_impl_type size_;
size_ctrl_type size_ctrl;
private:
template<
@@ -1710,6 +1797,15 @@ private:
using pred_base=empty_value<Pred,1>;
using allocator_base=empty_value<Allocator,2>;
/* used by allocator-extended move ctor */
table_core(Hash&& h_,Pred&& pred_,const Allocator& al_):
hash_base{empty_init,std::move(h_)},
pred_base{empty_init,std::move(pred_)},
allocator_base{empty_init,al_},arrays(new_arrays(0)),
size_ctrl{initial_max_load(),0}
{}
arrays_type new_arrays(std::size_t n)
{
return arrays_type::new_(al(),n);
@@ -1777,7 +1873,7 @@ private:
if(arrays.elements){
copy_elements_array_from(x);
copy_groups_array_from(x);
size_=std::size_t(x.size_);
size_ctrl.size=std::size_t(x.size_ctrl.size);
}
}
@@ -1862,23 +1958,15 @@ private:
}
}
static inline void swap_size_impl(size_impl_type& x,size_impl_type& y)
{
/* std::swap can't be used on non-assignable atomics */
std::size_t tmp=x;
x=static_cast<std::size_t>(y);
y=tmp;
}
void recover_slot(unsigned char* pc)
{
/* If this slot potentially caused overflow, we decrease the maximum load so
* that average probe length won't increase unboundedly in repeated
* insert/erase cycles (drift).
*/
ml-=group_type::maybe_caused_overflow(pc);
size_ctrl.ml-=group_type::maybe_caused_overflow(pc);
group_type::reset(pc);
--size_;
--size_ctrl.size;
}
void recover_slot(group_type* pg,std::size_t pos)
@@ -1944,25 +2032,7 @@ private:
}
delete_arrays(arrays);
arrays=new_arrays_;
ml=initial_max_load();
}
void noshrink_reserve(std::size_t n)
{
/* used only on assignment after element clearance */
BOOST_ASSERT(empty());
if(n){
n=std::size_t(std::ceil(float(n)/mlf)); /* elements -> slots */
n=capacity_for(n); /* exact resulting capacity */
if(n>capacity()){
auto new_arrays_=new_arrays(n);
delete_arrays(arrays);
arrays=new_arrays_;
ml=initial_max_load();
}
}
size_ctrl.ml=initial_max_load();
}
template<typename Value>
@@ -5,8 +5,7 @@
// Distributed under the Boost Software License, Version 1.0.
// https://www.boost.org/LICENSE_1_0.txt
#include <boost/smart_ptr/detail/sp_thread_pause.hpp>
#include <boost/smart_ptr/detail/sp_thread_sleep.hpp>
#include <boost/core/yield_primitives.hpp>
#include <atomic>
#include <cstdint>
@@ -64,10 +63,10 @@ public:
if( state_.compare_exchange_weak( st, newst, std::memory_order_acquire, std::memory_order_relaxed ) ) return;
}
boost::detail::sp_thread_pause();
boost::core::sp_thread_pause();
}
boost::detail::sp_thread_sleep();
boost::core::sp_thread_sleep();
}
}
@@ -132,7 +131,7 @@ public:
state_.compare_exchange_weak( st, newst, std::memory_order_relaxed, std::memory_order_relaxed );
}
boost::detail::sp_thread_pause();
boost::core::sp_thread_pause();
}
// clear writer pending bit before going to sleep
@@ -169,7 +168,7 @@ public:
}
}
boost::detail::sp_thread_sleep();
boost::core::sp_thread_sleep();
}
}
+21 -48
View File
@@ -46,6 +46,12 @@ struct plain_integral
Integral n;
};
struct plain_size_control
{
std::size_t ml;
std::size_t size;
};
template<typename,typename,typename,typename>
class table;
@@ -194,7 +200,7 @@ private:
/* foa::table interface departs in a number of ways from that of C++ unordered
* associative containers because it's not for end-user consumption
* (boost::unordered_[flat|node]_[map|set] wrappers complete it as
* (boost::unordered_(flat|node)_(map|set) wrappers complete it as
* appropriate).
*
* The table supports two main modes of operation: flat and node-based. In the
@@ -215,13 +221,13 @@ private:
*
* try_emplace, erase and find support heterogeneous lookup by default,
* that is, without checking for any ::is_transparent typedefs --the
* checking is done by boost::unordered_[flat|node]_[map|set].
* checking is done by boost::unordered_(flat|node)_(map|set).
*/
template <typename TypePolicy,typename Hash,typename Pred,typename Allocator>
using table_core_impl=
table_core<TypePolicy,group15<plain_integral>,table_arrays,
std::size_t,Hash,Pred,Allocator>;
plain_size_control,Hash,Pred,Allocator>;
#include <boost/unordered/detail/foa/ignore_wshadow.hpp>
@@ -404,8 +410,7 @@ public:
template<typename Key>
BOOST_FORCEINLINE iterator find(const Key& x)
{
auto hash=this->hash_for(x);
return find_impl(x,this->position_for(hash),hash);
return make_iterator(super::find(x));
}
template<typename Key>
@@ -440,6 +445,13 @@ public:
return std::size_t(s-x.size());
}
friend bool operator==(const table& x,const table& y)
{
return static_cast<const super&>(x)==static_cast<const super&>(y);
}
friend bool operator!=(const table& x,const table& y){return !(x==y);}
private:
struct erase_on_exit
{
@@ -458,57 +470,18 @@ private:
return {l.pg,l.n,l.p};
}
#if defined(BOOST_MSVC)
/* warning: forcing value to bool 'true' or 'false' in bool(pred()...) */
#pragma warning(push)
#pragma warning(disable:4800)
#endif
template<typename Key>
BOOST_FORCEINLINE iterator find_impl(
const Key& x,std::size_t pos0,std::size_t hash)const
{
prober pb(pos0);
do{
auto pos=pb.get();
auto pg=this->arrays.groups+pos;
auto mask=pg->match(hash);
if(mask){
BOOST_UNORDERED_ASSUME(this->arrays.elements!=nullptr);
auto p=this->arrays.elements+pos*N;
this->prefetch_elements(p);
do{
auto n=unchecked_countr_zero(mask);
if(BOOST_LIKELY(bool(this->pred()(x,this->key_from(p[n]))))){
return {pg,n,p+n};
}
mask&=mask-1;
}while(mask);
}
if(BOOST_LIKELY(pg->is_not_overflowed(hash))){
return {}; /* end() */
}
}
while(BOOST_LIKELY(pb.next(this->arrays.groups_size_mask)));
return {}; /* end() */
}
#if defined(BOOST_MSVC)
#pragma warning(pop) /* C4800 */
#endif
template<typename... Args>
BOOST_FORCEINLINE std::pair<iterator,bool> emplace_impl(Args&&... args)
{
const auto &k=this->key_from(std::forward<Args>(args)...);
auto hash=this->hash_for(k);
auto pos0=this->position_for(hash);
auto it=find_impl(k,pos0,hash);
auto loc=super::find(k,pos0,hash);
if(it!=end()){
return {it,false};
if(loc){
return {make_iterator(loc),false};
}
if(BOOST_LIKELY(this->size_<this->ml)){
if(BOOST_LIKELY(this->size_ctrl.size<this->size_ctrl.ml)){
return {
make_iterator(
this->unchecked_emplace_at(pos0,hash,std::forward<Args>(args)...)),
@@ -20,6 +20,9 @@
#include <boost/type_traits/enable_if.hpp>
#include <boost/type_traits/is_integral.hpp>
#include <boost/type_traits/remove_const.hpp>
#include <iterator>
#include <utility>
#endif
// BOOST_UNORDERED_TEMPLATE_DEDUCTION_GUIDES
@@ -101,6 +104,16 @@ namespace boost {
!boost::is_integral<H>::value && !is_allocator_v<H>;
template <class P> constexpr bool const is_pred_v = !is_allocator_v<P>;
template <typename T>
using iter_key_t =
typename std::iterator_traits<T>::value_type::first_type;
template <typename T>
using iter_val_t =
typename std::iterator_traits<T>::value_type::second_type;
template <typename T>
using iter_to_alloc_t =
typename std::pair<iter_key_t<T> const, iter_val_t<T> >;
#endif
} // namespace detail
} // namespace unordered
+6 -25
View File
@@ -100,6 +100,11 @@ namespace boost {
table_type table_;
template <class K, class V, class H, class KE, class A>
bool friend operator==(
unordered_flat_map<K, V, H, KE, A> const& lhs,
unordered_flat_map<K, V, H, KE, A> const& rhs);
template <class K, class V, class H, class KE, class A, class Pred>
typename unordered_flat_map<K, V, H, KE, A>::size_type friend erase_if(
unordered_flat_map<K, V, H, KE, A>& set, Pred pred);
@@ -702,19 +707,7 @@ namespace boost {
unordered_flat_map<Key, T, Hash, KeyEqual, Allocator> const& lhs,
unordered_flat_map<Key, T, Hash, KeyEqual, Allocator> const& rhs)
{
if (&lhs == &rhs) {
return true;
}
return (lhs.size() == rhs.size()) && ([&] {
for (auto const& kvp : lhs) {
auto pos = rhs.find(kvp.first);
if ((pos == rhs.end()) || (*pos != kvp)) {
return false;
}
}
return true;
})();
return lhs.table_ == rhs.table_;
}
template <class Key, class T, class Hash, class KeyEqual, class Allocator>
@@ -748,18 +741,6 @@ namespace boost {
#if BOOST_UNORDERED_TEMPLATE_DEDUCTION_GUIDES
namespace detail {
template <typename T>
using iter_key_t =
typename std::iterator_traits<T>::value_type::first_type;
template <typename T>
using iter_val_t =
typename std::iterator_traits<T>::value_type::second_type;
template <typename T>
using iter_to_alloc_t =
typename std::pair<iter_key_t<T> const, iter_val_t<T> >;
} // namespace detail
template <class InputIterator,
class Hash =
boost::hash<boost::unordered::detail::iter_key_t<InputIterator> >,
+6 -13
View File
@@ -69,6 +69,11 @@ namespace boost {
table_type table_;
template <class K, class H, class KE, class A>
bool friend operator==(
unordered_flat_set<K, H, KE, A> const& lhs,
unordered_flat_set<K, H, KE, A> const& rhs);
template <class K, class H, class KE, class A, class Pred>
typename unordered_flat_set<K, H, KE, A>::size_type friend erase_if(
unordered_flat_set<K, H, KE, A>& set, Pred pred);
@@ -499,19 +504,7 @@ namespace boost {
unordered_flat_set<Key, Hash, KeyEqual, Allocator> const& lhs,
unordered_flat_set<Key, Hash, KeyEqual, Allocator> const& rhs)
{
if (&lhs == &rhs) {
return true;
}
return (lhs.size() == rhs.size()) && ([&] {
for (auto const& key : lhs) {
auto pos = rhs.find(key);
if ((pos == rhs.end()) || (key != *pos)) {
return false;
}
}
return true;
})();
return lhs.table_ == rhs.table_;
}
template <class Key, class Hash, class KeyEqual, class Allocator>
-12
View File
@@ -1061,18 +1061,6 @@ namespace boost {
#if BOOST_UNORDERED_TEMPLATE_DEDUCTION_GUIDES
namespace detail {
template <typename T>
using iter_key_t =
typename std::iterator_traits<T>::value_type::first_type;
template <typename T>
using iter_val_t =
typename std::iterator_traits<T>::value_type::second_type;
template <typename T>
using iter_to_alloc_t =
typename std::pair<iter_key_t<T> const, iter_val_t<T> >;
} // namespace detail
template <class InputIterator,
class Hash =
boost::hash<boost::unordered::detail::iter_key_t<InputIterator> >,
+6 -25
View File
@@ -187,6 +187,11 @@ namespace boost {
table_type table_;
template <class K, class V, class H, class KE, class A>
bool friend operator==(
unordered_node_map<K, V, H, KE, A> const& lhs,
unordered_node_map<K, V, H, KE, A> const& rhs);
template <class K, class V, class H, class KE, class A, class Pred>
typename unordered_node_map<K, V, H, KE, A>::size_type friend erase_if(
unordered_node_map<K, V, H, KE, A>& set, Pred pred);
@@ -854,19 +859,7 @@ namespace boost {
unordered_node_map<Key, T, Hash, KeyEqual, Allocator> const& lhs,
unordered_node_map<Key, T, Hash, KeyEqual, Allocator> const& rhs)
{
if (&lhs == &rhs) {
return true;
}
return (lhs.size() == rhs.size()) && ([&] {
for (auto const& kvp : lhs) {
auto pos = rhs.find(kvp.first);
if ((pos == rhs.end()) || (*pos != kvp)) {
return false;
}
}
return true;
})();
return lhs.table_ == rhs.table_;
}
template <class Key, class T, class Hash, class KeyEqual, class Allocator>
@@ -900,18 +893,6 @@ namespace boost {
#if BOOST_UNORDERED_TEMPLATE_DEDUCTION_GUIDES
namespace detail {
template <typename T>
using iter_key_t =
typename std::iterator_traits<T>::value_type::first_type;
template <typename T>
using iter_val_t =
typename std::iterator_traits<T>::value_type::second_type;
template <typename T>
using iter_to_alloc_t =
typename std::pair<iter_key_t<T> const, iter_val_t<T> >;
} // namespace detail
template <class InputIterator,
class Hash =
boost::hash<boost::unordered::detail::iter_key_t<InputIterator> >,
+6 -13
View File
@@ -143,6 +143,11 @@ namespace boost {
table_type table_;
template <class K, class H, class KE, class A>
bool friend operator==(
unordered_node_set<K, H, KE, A> const& lhs,
unordered_node_set<K, H, KE, A> const& rhs);
template <class K, class H, class KE, class A, class Pred>
typename unordered_node_set<K, H, KE, A>::size_type friend erase_if(
unordered_node_set<K, H, KE, A>& set, Pred pred);
@@ -638,19 +643,7 @@ namespace boost {
unordered_node_set<Key, Hash, KeyEqual, Allocator> const& lhs,
unordered_node_set<Key, Hash, KeyEqual, Allocator> const& rhs)
{
if (&lhs == &rhs) {
return true;
}
return (lhs.size() == rhs.size()) && ([&] {
for (auto const& key : lhs) {
auto pos = rhs.find(key);
if ((pos == rhs.end()) || (key != *pos)) {
return false;
}
}
return true;
})();
return lhs.table_ == rhs.table_;
}
template <class Key, class Hash, class KeyEqual, class Allocator>
+153 -7
View File
@@ -6,12 +6,158 @@ include(BoostTestJamfile OPTIONAL RESULT_VARIABLE HAVE_BOOST_TEST)
if(HAVE_BOOST_TEST)
boost_test_jamfile(
FILE Jamfile.v2
LINK_LIBRARIES
Boost::unordered
Boost::core
Boost::concept_check
)
set(THREADS_PREFER_PTHREAD_FLAG ON)
find_package(Threads REQUIRED)
set(BOOST_TEST_LINK_LIBRARIES Boost::unordered Boost::core Boost::concept_check)
function(fca_tests)
boost_test(PREFIX boost_unordered ${ARGN})
endfunction()
function(foa_tests)
boost_test(PREFIX boost_unordered_foa COMPILE_DEFINITIONS BOOST_UNORDERED_FOA_TESTS ${ARGN})
endfunction()
function(cfoa_tests)
boost_test(PREFIX boost_unordered_cfoa LINK_LIBRARIES Threads::Threads ${ARGN})
endfunction()
# FCA tests
fca_tests(SOURCES unordered/prime_fmod_tests.cpp)
fca_tests(SOURCES unordered/fwd_set_test.cpp)
fca_tests(SOURCES unordered/fwd_map_test.cpp)
fca_tests(SOURCES unordered/allocator_traits.cpp)
fca_tests(SOURCES unordered/minimal_allocator.cpp)
fca_tests(SOURCES unordered/compile_set.cpp)
fca_tests(SOURCES unordered/compile_map.cpp)
fca_tests(SOURCES unordered/noexcept_tests.cpp)
fca_tests(SOURCES unordered/link_test_1.cpp unordered/link_test_2.cpp)
fca_tests(SOURCES unordered/incomplete_test.cpp)
fca_tests(SOURCES unordered/simple_tests.cpp)
fca_tests(SOURCES unordered/equivalent_keys_tests.cpp)
fca_tests(SOURCES unordered/constructor_tests.cpp)
fca_tests(SOURCES unordered/copy_tests.cpp)
fca_tests(SOURCES unordered/move_tests.cpp)
fca_tests(SOURCES unordered/post_move_tests.cpp)
fca_tests(SOURCES unordered/assign_tests.cpp)
fca_tests(SOURCES unordered/insert_tests.cpp)
fca_tests(SOURCES unordered/insert_stable_tests.cpp)
fca_tests(SOURCES unordered/insert_hint_tests.cpp)
fca_tests(SOURCES unordered/emplace_tests.cpp)
fca_tests(SOURCES unordered/unnecessary_copy_tests.cpp)
fca_tests(SOURCES unordered/erase_tests.cpp COMPILE_DEFINITIONS BOOST_UNORDERED_SUPPRESS_DEPRECATED)
fca_tests(SOURCES unordered/erase_equiv_tests.cpp)
fca_tests(SOURCES unordered/extract_tests.cpp)
fca_tests(SOURCES unordered/node_handle_tests.cpp)
fca_tests(SOURCES unordered/merge_tests.cpp)
fca_tests(SOURCES unordered/find_tests.cpp)
fca_tests(SOURCES unordered/at_tests.cpp)
fca_tests(SOURCES unordered/bucket_tests.cpp)
fca_tests(SOURCES unordered/load_factor_tests.cpp)
fca_tests(SOURCES unordered/rehash_tests.cpp)
fca_tests(SOURCES unordered/equality_tests.cpp)
fca_tests(SOURCES unordered/swap_tests.cpp)
fca_tests(SOURCES unordered/deduction_tests.cpp)
fca_tests(SOURCES unordered/scoped_allocator.cpp)
fca_tests(SOURCES unordered/transparent_tests.cpp)
fca_tests(SOURCES unordered/reserve_tests.cpp)
fca_tests(SOURCES unordered/contains_tests.cpp)
fca_tests(SOURCES unordered/erase_if.cpp)
fca_tests(SOURCES unordered/scary_tests.cpp)
fca_tests(SOURCES exception/constructor_exception_tests.cpp)
fca_tests(SOURCES exception/copy_exception_tests.cpp)
fca_tests(SOURCES exception/assign_exception_tests.cpp)
fca_tests(SOURCES exception/move_assign_exception_tests.cpp)
fca_tests(SOURCES exception/insert_exception_tests.cpp)
fca_tests(SOURCES exception/erase_exception_tests.cpp)
fca_tests(SOURCES exception/rehash_exception_tests.cpp)
fca_tests(SOURCES exception/swap_exception_tests.cpp COMPILE_DEFINITIONS BOOST_UNORDERED_SWAP_METHOD=2)
fca_tests(SOURCES exception/merge_exception_tests.cpp)
fca_tests(SOURCES exception/less_tests.cpp)
fca_tests(SOURCES unordered/narrow_cast_tests.cpp)
fca_tests(SOURCES unordered/compile_set.cpp COMPILE_DEFINITIONS BOOST_UNORDERED_USE_MOVE NAME bmove_compile_set)
fca_tests(SOURCES unordered/compile_map.cpp COMPILE_DEFINITIONS BOOST_UNORDERED_USE_MOVE NAME bmove_compile_map)
fca_tests(SOURCES unordered/copy_tests.cpp COMPILE_DEFINITIONS BOOST_UNORDERED_USE_MOVE NAME bmove_copy)
fca_tests(SOURCES unordered/move_tests.cpp COMPILE_DEFINITIONS BOOST_UNORDERED_USE_MOVE NAME bmove_move)
fca_tests(SOURCES unordered/assign_tests.cpp COMPILE_DEFINITIONS BOOST_UNORDERED_USE_MOVE NAME bmove_assign)
fca_tests(SOURCES quick.cpp)
fca_tests(TYPE compile-fail NAME insert_node_type_fail_map COMPILE_DEFINITIONS UNORDERED_TEST_MAP SOURCES unordered/insert_node_type_fail.cpp)
fca_tests(TYPE compile-fail NAME insert_node_type_fail_multimap COMPILE_DEFINITIONS UNORDERED_TEST_MULTIMAP SOURCES unordered/insert_node_type_fail.cpp)
fca_tests(TYPE compile-fail NAME insert_node_type_fail_set COMPILE_DEFINITIONS UNORDERED_TEST_SET SOURCES unordered/insert_node_type_fail.cpp)
fca_tests(TYPE compile-fail NAME insert_node_type_fail_multiset COMPILE_DEFINITIONS UNORDERED_TEST_MULTISET SOURCES unordered/insert_node_type_fail.cpp)
# FOA tests
foa_tests(SOURCES unordered/fwd_set_test.cpp)
foa_tests(SOURCES unordered/fwd_map_test.cpp)
foa_tests(SOURCES unordered/compile_set.cpp)
foa_tests(SOURCES unordered/compile_map.cpp)
foa_tests(SOURCES unordered/noexcept_tests.cpp)
foa_tests(SOURCES unordered/incomplete_test.cpp)
foa_tests(SOURCES unordered/simple_tests.cpp)
foa_tests(SOURCES unordered/equivalent_keys_tests.cpp)
foa_tests(SOURCES unordered/constructor_tests.cpp)
foa_tests(SOURCES unordered/copy_tests.cpp)
foa_tests(SOURCES unordered/move_tests.cpp)
foa_tests(SOURCES unordered/post_move_tests.cpp)
foa_tests(SOURCES unordered/assign_tests.cpp)
foa_tests(SOURCES unordered/insert_tests.cpp)
foa_tests(SOURCES unordered/insert_hint_tests.cpp)
foa_tests(SOURCES unordered/emplace_tests.cpp)
foa_tests(SOURCES unordered/erase_tests.cpp)
foa_tests(SOURCES unordered/merge_tests.cpp)
foa_tests(SOURCES unordered/find_tests.cpp)
foa_tests(SOURCES unordered/at_tests.cpp)
foa_tests(SOURCES unordered/load_factor_tests.cpp)
foa_tests(SOURCES unordered/rehash_tests.cpp)
foa_tests(SOURCES unordered/equality_tests.cpp)
foa_tests(SOURCES unordered/swap_tests.cpp)
foa_tests(SOURCES unordered/transparent_tests.cpp)
foa_tests(SOURCES unordered/reserve_tests.cpp)
foa_tests(SOURCES unordered/contains_tests.cpp)
foa_tests(SOURCES unordered/erase_if.cpp)
foa_tests(SOURCES unordered/scary_tests.cpp)
foa_tests(SOURCES unordered/init_type_insert_tests.cpp)
foa_tests(SOURCES unordered/max_load_tests.cpp)
foa_tests(SOURCES unordered/extract_tests.cpp)
foa_tests(SOURCES unordered/node_handle_tests.cpp)
foa_tests(SOURCES unordered/uses_allocator.cpp)
foa_tests(SOURCES unordered/link_test_1.cpp unordered/link_test_2.cpp )
foa_tests(SOURCES unordered/scoped_allocator.cpp)
foa_tests(SOURCES unordered/hash_is_avalanching_test.cpp)
foa_tests(SOURCES exception/constructor_exception_tests.cpp)
foa_tests(SOURCES exception/copy_exception_tests.cpp)
foa_tests(SOURCES exception/assign_exception_tests.cpp)
foa_tests(SOURCES exception/move_assign_exception_tests.cpp)
foa_tests(SOURCES exception/insert_exception_tests.cpp)
foa_tests(SOURCES exception/erase_exception_tests.cpp)
foa_tests(SOURCES exception/rehash_exception_tests.cpp)
foa_tests(SOURCES exception/swap_exception_tests.cpp)
foa_tests(SOURCES exception/merge_exception_tests.cpp)
# CFOA tests
cfoa_tests(SOURCES cfoa/latch_tests.cpp)
cfoa_tests(SOURCES cfoa/insert_tests.cpp)
cfoa_tests(SOURCES cfoa/erase_tests.cpp)
cfoa_tests(SOURCES cfoa/try_emplace_tests.cpp)
cfoa_tests(SOURCES cfoa/emplace_tests.cpp)
cfoa_tests(SOURCES cfoa/visit_tests.cpp)
cfoa_tests(SOURCES cfoa/constructor_tests.cpp)
cfoa_tests(SOURCES cfoa/assign_tests.cpp)
cfoa_tests(SOURCES cfoa/clear_tests.cpp)
cfoa_tests(SOURCES cfoa/swap_tests.cpp)
cfoa_tests(SOURCES cfoa/merge_tests.cpp)
cfoa_tests(SOURCES cfoa/rehash_tests.cpp)
cfoa_tests(SOURCES cfoa/equality_tests.cpp)
cfoa_tests(SOURCES cfoa/fwd_tests.cpp)
cfoa_tests(SOURCES cfoa/exception_insert_tests.cpp)
cfoa_tests(SOURCES cfoa/exception_erase_tests.cpp)
cfoa_tests(SOURCES cfoa/exception_constructor_tests.cpp)
cfoa_tests(SOURCES cfoa/exception_assign_tests.cpp)
cfoa_tests(SOURCES cfoa/exception_merge_tests.cpp)
endif()
+13 -1
View File
@@ -176,6 +176,7 @@ alias foa_tests :
;
local CFOA_TESTS =
latch_tests
insert_tests
erase_tests
try_emplace_tests
@@ -183,12 +184,23 @@ local CFOA_TESTS =
visit_tests
constructor_tests
assign_tests
clear_tests
swap_tests
merge_tests
rehash_tests
equality_tests
fwd_tests
exception_insert_tests
exception_erase_tests
exception_constructor_tests
exception_assign_tests
exception_merge_tests
;
for local test in $(CFOA_TESTS)
{
run cfoa/$(test).cpp
: requirements $(CPP11)
: requirements $(CPP11) <threading>multi
: target-name cfoa_$(test)
;
}
+728 -48
View File
@@ -6,6 +6,23 @@
#include <boost/unordered/concurrent_flat_map.hpp>
#if defined(__clang__) && defined(__has_warning)
#if __has_warning("-Wself-assign-overloaded")
#pragma clang diagnostic ignored "-Wself-assign-overloaded"
#endif
#if __has_warning("-Wself-move")
#pragma clang diagnostic ignored "-Wself-move"
#endif
#endif /* defined(__clang__) && defined(__has_warning) */
#if defined(BOOST_GCC) && BOOST_GCC >= 130000
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wself-move"
#endif
test::seed_t initialize_seed{2762556623};
using test::default_generator;
@@ -21,6 +38,80 @@ using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
using map_value_type = typename map_type::value_type;
template <class T> struct pocca_allocator
{
using propagate_on_container_copy_assignment = std::true_type;
int x_ = -1;
using value_type = T;
pocca_allocator() = default;
pocca_allocator(pocca_allocator const&) = default;
pocca_allocator(pocca_allocator&&) = default;
pocca_allocator(int const x) : x_{x} {}
pocca_allocator& operator=(pocca_allocator const& rhs)
{
if (this != &rhs) {
x_ = rhs.x_;
}
return *this;
}
template <class U> pocca_allocator(pocca_allocator<U> const& rhs) : x_{rhs.x_}
{
}
T* allocate(std::size_t n)
{
return static_cast<T*>(::operator new(n * sizeof(T)));
}
void deallocate(T* p, std::size_t) { ::operator delete(p); }
bool operator==(pocca_allocator const& rhs) const { return x_ == rhs.x_; }
bool operator!=(pocca_allocator const& rhs) const { return x_ != rhs.x_; }
};
template <class T> struct pocma_allocator
{
using propagate_on_container_move_assignment = std::true_type;
int x_ = -1;
using value_type = T;
pocma_allocator() = default;
pocma_allocator(pocma_allocator const&) = default;
pocma_allocator(pocma_allocator&&) = default;
pocma_allocator(int const x) : x_{x} {}
pocma_allocator& operator=(pocma_allocator const& rhs)
{
if (this != &rhs) {
x_ = rhs.x_;
}
return *this;
}
template <class U> pocma_allocator(pocma_allocator<U> const& rhs) : x_{rhs.x_}
{
}
T* allocate(std::size_t n)
{
return static_cast<T*>(::operator new(n * sizeof(T)));
}
void deallocate(T* p, std::size_t) { ::operator delete(p); }
bool operator==(pocma_allocator const& rhs) const { return x_ == rhs.x_; }
bool operator!=(pocma_allocator const& rhs) const { return x_ != rhs.x_; }
};
namespace {
template <class G> void copy_assign(G gen, test::random_generator rg)
{
@@ -28,30 +119,31 @@ namespace {
auto reference_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
// to test:
// self-assign
// propagation
//
// lhs empty, rhs empty
{
raii::reset_counts();
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
map_type y;
BOOST_TEST(x.empty());
BOOST_TEST(y.empty());
y = x;
thread_runner(values, [&x](boost::span<map_value_type> s) {
(void)s;
map_type y;
BOOST_TEST(x.empty());
BOOST_TEST(y.empty());
y = x;
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() != y.get_allocator());
});
BOOST_TEST_EQ(raii::destructor, 0u);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::copy_constructor, 0u);
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() != y.get_allocator());
}
// lhs non-empty, rhs empty
@@ -60,23 +152,30 @@ namespace {
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
map_type y(values.begin(), values.end(), values.size());
auto const old_size = reference_map.size();
auto const old_cc = +raii::copy_constructor;
auto const old_size = y.size();
thread_runner(values, [&x, &values](boost::span<map_value_type> s) {
(void)s;
BOOST_TEST(x.empty());
BOOST_TEST(!y.empty());
y = x;
map_type y(values.begin(), values.end(), values.size());
BOOST_TEST_EQ(raii::destructor, 2 * old_size);
BOOST_TEST(x.empty());
BOOST_TEST(!y.empty());
y = x;
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() != y.get_allocator());
BOOST_TEST(y.empty());
});
BOOST_TEST_EQ(raii::destructor, num_threads * (2 * old_size));
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() != y.get_allocator());
BOOST_TEST_EQ(
raii::copy_constructor, num_threads * 2 * reference_map.size());
}
check_raii_counts();
@@ -87,23 +186,31 @@ namespace {
map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), allocator_type(3));
map_type y;
auto const old_cc = +raii::copy_constructor;
BOOST_TEST(!x.empty());
BOOST_TEST(y.empty());
y = x;
thread_runner(
values, [&x, &reference_map](boost::span<map_value_type> s) {
(void)s;
BOOST_TEST_EQ(raii::destructor, 0u);
map_type y;
BOOST_TEST(!x.empty());
BOOST_TEST(y.empty());
y = x;
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() != y.get_allocator());
test_matches_reference(y, reference_map);
});
BOOST_TEST_EQ(raii::destructor, num_threads * 2 * x.size());
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::copy_constructor, old_cc + (2 * x.size()));
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() != y.get_allocator());
test_matches_reference(y, reference_map);
BOOST_TEST_EQ(
raii::copy_constructor, old_cc + (num_threads * 2 * x.size()));
}
check_raii_counts();
@@ -114,27 +221,590 @@ namespace {
map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), allocator_type(3));
map_type y(values.begin(), values.end(), values.size());
auto const old_size = y.size();
auto const old_size = x.size();
auto const old_cc = +raii::copy_constructor;
BOOST_TEST(!x.empty());
BOOST_TEST(!y.empty());
y = x;
thread_runner(values, [&x, &values](boost::span<map_value_type> s) {
(void)s;
BOOST_TEST_EQ(raii::destructor, 2 * old_size);
map_type y(values.begin(), values.end(), values.size());
BOOST_TEST(!x.empty());
BOOST_TEST(!y.empty());
y = x;
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() != y.get_allocator());
});
BOOST_TEST_EQ(raii::destructor, 2 * num_threads * 2 * old_size);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::copy_constructor, old_cc + (2 * x.size()));
BOOST_TEST_EQ(
raii::copy_constructor, old_cc + (2 * num_threads * 2 * x.size()));
}
check_raii_counts();
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() != y.get_allocator());
// self-assign
{
raii::reset_counts();
map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), allocator_type(3));
auto const old_cc = +raii::copy_constructor;
thread_runner(
values, [&x, &reference_map](boost::span<map_value_type> s) {
(void)s;
BOOST_TEST(!x.empty());
x = x;
BOOST_TEST_EQ(x.hash_function(), hasher(1));
BOOST_TEST_EQ(x.key_eq(), key_equal(2));
BOOST_TEST(x.get_allocator() == allocator_type(3));
test_matches_reference(x, reference_map);
});
BOOST_TEST_EQ(raii::destructor, 0u);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
}
check_raii_counts();
// propagation
{
using pocca_allocator_type =
pocca_allocator<std::pair<const raii, raii> >;
using pocca_map_type = boost::unordered::concurrent_flat_map<raii, raii,
hasher, key_equal, pocca_allocator_type>;
raii::reset_counts();
pocca_map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), pocca_allocator_type(3));
auto const old_size = x.size();
auto const old_cc = +raii::copy_constructor;
thread_runner(values, [&x, &values](boost::span<map_value_type> s) {
(void)s;
pocca_map_type y(values.begin(), values.end(), values.size());
BOOST_TEST(!x.empty());
BOOST_TEST(!y.empty());
BOOST_TEST(x.get_allocator() != y.get_allocator());
y = x;
BOOST_TEST_EQ(x.hash_function(), y.hash_function());
BOOST_TEST_EQ(x.key_eq(), y.key_eq());
BOOST_TEST(x.get_allocator() == y.get_allocator());
});
BOOST_TEST_EQ(raii::destructor, 2 * num_threads * 2 * old_size);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(
raii::copy_constructor, old_cc + (2 * num_threads * 2 * x.size()));
}
check_raii_counts();
}
template <class G> void move_assign(G gen, test::random_generator rg)
{
using pocma_allocator_type = pocma_allocator<std::pair<const raii, raii> >;
using pocma_map_type = boost::unordered::concurrent_flat_map<raii, raii,
hasher, key_equal, pocma_allocator_type>;
BOOST_STATIC_ASSERT(
std::is_nothrow_move_assignable<boost::unordered::concurrent_flat_map<int,
int, std::hash<int>, std::equal_to<int>,
std::allocator<std::pair<int const, int> > > >::value);
BOOST_STATIC_ASSERT(
std::is_nothrow_move_assignable<boost::unordered::concurrent_flat_map<int,
int, std::hash<int>, std::equal_to<int>,
pocma_allocator<std::pair<int const, int> > > >::value);
BOOST_STATIC_ASSERT(
!std::is_nothrow_move_assignable<boost::unordered::concurrent_flat_map<
int, int, std::hash<int>, std::equal_to<int>,
stateful_allocator<std::pair<int const, int> > > >::value);
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
auto reference_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
// move assignment has more complex requirements than copying
// equal allocators:
// lhs empty, rhs non-empty
// lhs non-empty, rhs empty
// lhs non-empty, rhs non-empty
//
// unequal allocators:
// lhs non-empty, rhs non-empty
//
// pocma
// self move-assign
// lhs empty, rhs empty
{
raii::reset_counts();
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
std::atomic<unsigned> num_transfers{0};
thread_runner(
values, [&x, &num_transfers](boost::span<map_value_type> s) {
(void)s;
map_type y(0, hasher(2), key_equal(1), allocator_type(3));
BOOST_TEST(x.empty());
BOOST_TEST(y.empty());
BOOST_TEST(x.get_allocator() == y.get_allocator());
y = std::move(x);
if (y.hash_function() == hasher(1)) {
++num_transfers;
BOOST_TEST_EQ(y.key_eq(), key_equal(2));
} else {
BOOST_TEST_EQ(y.hash_function(), hasher(2));
BOOST_TEST_EQ(y.key_eq(), key_equal(1));
}
BOOST_TEST_EQ(x.hash_function(), hasher(2));
BOOST_TEST_EQ(x.key_eq(), key_equal(1));
BOOST_TEST(x.get_allocator() == y.get_allocator());
});
BOOST_TEST_EQ(num_transfers, 1u);
BOOST_TEST_EQ(raii::destructor, 0u);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::copy_constructor, 0u);
}
// lhs non-empty, rhs empty
{
raii::reset_counts();
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
std::atomic<unsigned> num_transfers{0};
thread_runner(
values, [&x, &values, &num_transfers](boost::span<map_value_type> s) {
(void)s;
map_type y(values.begin(), values.end(), values.size(), hasher(2),
key_equal(1), allocator_type(3));
BOOST_TEST(x.empty());
BOOST_TEST(!y.empty());
BOOST_TEST(x.get_allocator() == y.get_allocator());
y = std::move(x);
if (y.hash_function() == hasher(1)) {
++num_transfers;
BOOST_TEST_EQ(y.key_eq(), key_equal(2));
} else {
BOOST_TEST_EQ(y.hash_function(), hasher(2));
BOOST_TEST_EQ(y.key_eq(), key_equal(1));
}
BOOST_TEST_EQ(x.hash_function(), hasher(2));
BOOST_TEST_EQ(x.key_eq(), key_equal(1));
BOOST_TEST(x.get_allocator() == y.get_allocator());
BOOST_TEST(y.empty());
});
BOOST_TEST_EQ(num_transfers, 1u);
BOOST_TEST_EQ(raii::destructor, num_threads * 2 * reference_map.size());
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(
raii::copy_constructor, num_threads * 2 * reference_map.size());
}
check_raii_counts();
// lhs empty, rhs non-empty
{
raii::reset_counts();
map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), allocator_type(3));
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
std::atomic<unsigned> num_transfers{0};
thread_runner(values,
[&x, &reference_map, &num_transfers](boost::span<map_value_type> s) {
(void)s;
map_type y(allocator_type(3));
BOOST_TEST(y.empty());
BOOST_TEST(x.get_allocator() == y.get_allocator());
y = std::move(x);
if (!y.empty()) {
++num_transfers;
test_matches_reference(y, reference_map);
BOOST_TEST_EQ(y.hash_function(), hasher(1));
BOOST_TEST_EQ(y.key_eq(), key_equal(2));
} else {
BOOST_TEST_EQ(y.hash_function(), hasher());
BOOST_TEST_EQ(y.key_eq(), key_equal());
}
BOOST_TEST(x.empty());
BOOST_TEST_EQ(x.hash_function(), hasher());
BOOST_TEST_EQ(x.key_eq(), key_equal());
BOOST_TEST(x.get_allocator() == y.get_allocator());
});
BOOST_TEST_EQ(num_transfers, 1u);
BOOST_TEST_EQ(raii::destructor, 2 * reference_map.size());
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
}
check_raii_counts();
// lhs non-empty, rhs non-empty
{
raii::reset_counts();
map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), allocator_type(3));
auto const old_size = x.size();
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
std::atomic<unsigned> num_transfers{0};
thread_runner(values, [&x, &values, &num_transfers, &reference_map](
boost::span<map_value_type> s) {
(void)s;
map_type y(values.begin(), values.end(), values.size(), hasher(2),
key_equal(1), allocator_type(3));
BOOST_TEST(!y.empty());
BOOST_TEST(x.get_allocator() == y.get_allocator());
y = std::move(x);
if (y.hash_function() == hasher(1)) {
++num_transfers;
test_matches_reference(y, reference_map);
BOOST_TEST_EQ(y.key_eq(), key_equal(2));
} else {
BOOST_TEST_EQ(y.hash_function(), hasher(2));
BOOST_TEST_EQ(y.key_eq(), key_equal(1));
}
BOOST_TEST(x.empty());
BOOST_TEST_EQ(x.hash_function(), hasher(2));
BOOST_TEST_EQ(x.key_eq(), key_equal(1));
BOOST_TEST(x.get_allocator() == y.get_allocator());
});
BOOST_TEST_EQ(num_transfers, 1u);
BOOST_TEST_EQ(
raii::destructor, 2 * old_size + num_threads * 2 * old_size);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
BOOST_TEST_EQ(raii::copy_constructor,
old_cc + (num_threads * 2 * reference_map.size()));
}
check_raii_counts();
// lhs non-empty, rhs non-empty, unequal allocators, no propagation
{
raii::reset_counts();
map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), allocator_type(3));
auto const old_size = x.size();
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
std::atomic<unsigned> num_transfers{0};
thread_runner(values, [&x, &values, &num_transfers, &reference_map](
boost::span<map_value_type> s) {
(void)s;
map_type y(values.begin(), values.end(), values.size(), hasher(2),
key_equal(1), allocator_type(13));
BOOST_TEST(
!boost::allocator_is_always_equal<allocator_type>::type::value);
BOOST_TEST(!boost::allocator_propagate_on_container_move_assignment<
allocator_type>::type::value);
BOOST_TEST(!y.empty());
BOOST_TEST(x.get_allocator() != y.get_allocator());
y = std::move(x);
if (y.hash_function() == hasher(1)) {
++num_transfers;
test_matches_reference(y, reference_map);
BOOST_TEST_EQ(y.key_eq(), key_equal(2));
} else {
BOOST_TEST_EQ(y.hash_function(), hasher(2));
BOOST_TEST_EQ(y.key_eq(), key_equal(1));
}
BOOST_TEST(x.empty());
BOOST_TEST_EQ(x.hash_function(), hasher(2));
BOOST_TEST_EQ(x.key_eq(), key_equal(1));
BOOST_TEST(x.get_allocator() != y.get_allocator());
});
BOOST_TEST_EQ(num_transfers, 1u);
BOOST_TEST_EQ(
raii::destructor, 2 * 2 * old_size + num_threads * 2 * old_size);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::move_constructor, old_mc + 2 * old_size);
BOOST_TEST_EQ(raii::copy_constructor,
old_cc + (num_threads * 2 * reference_map.size()));
}
check_raii_counts();
// lhs non-empty, rhs non-empty, pocma
{
raii::reset_counts();
pocma_map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), pocma_allocator_type(3));
auto const old_size = x.size();
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
std::atomic<unsigned> num_transfers{0};
thread_runner(values, [&x, &values, &num_transfers, &reference_map](
boost::span<map_value_type> s) {
(void)s;
pocma_map_type y(values.begin(), values.end(), values.size(), hasher(2),
key_equal(1), pocma_allocator_type(13));
BOOST_TEST(!y.empty());
BOOST_TEST(x.get_allocator() != y.get_allocator());
y = std::move(x);
if (y.hash_function() == hasher(1)) {
++num_transfers;
test_matches_reference(y, reference_map);
BOOST_TEST_EQ(y.key_eq(), key_equal(2));
} else {
BOOST_TEST_EQ(y.hash_function(), hasher(2));
BOOST_TEST_EQ(y.key_eq(), key_equal(1));
}
BOOST_TEST(x.empty());
BOOST_TEST_EQ(x.hash_function(), hasher(2));
BOOST_TEST_EQ(x.key_eq(), key_equal(1));
BOOST_TEST(x.get_allocator() == y.get_allocator());
});
BOOST_TEST_EQ(num_transfers, 1u);
BOOST_TEST_EQ(
raii::destructor, 2 * old_size + num_threads * 2 * old_size);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
BOOST_TEST_EQ(raii::copy_constructor,
old_cc + (num_threads * 2 * reference_map.size()));
}
check_raii_counts();
// self-assign
{
raii::reset_counts();
map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), allocator_type(3));
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
thread_runner(
values, [&x, &reference_map](boost::span<map_value_type> s) {
(void)s;
x = std::move(x);
BOOST_TEST(!x.empty());
BOOST_TEST_EQ(x.hash_function(), hasher(1));
BOOST_TEST_EQ(x.key_eq(), key_equal(2));
BOOST_TEST(x.get_allocator() == allocator_type(3));
test_matches_reference(x, reference_map);
});
BOOST_TEST_EQ(raii::destructor, 0u);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
}
check_raii_counts();
}
UNORDERED_AUTO_TEST (initializer_list_assignment) {
std::initializer_list<map_value_type> values{
map_value_type{raii{0}, raii{0}},
map_value_type{raii{1}, raii{1}},
map_value_type{raii{2}, raii{2}},
map_value_type{raii{3}, raii{3}},
map_value_type{raii{4}, raii{4}},
map_value_type{raii{5}, raii{5}},
map_value_type{raii{6}, raii{6}},
map_value_type{raii{6}, raii{6}},
map_value_type{raii{7}, raii{7}},
map_value_type{raii{8}, raii{8}},
map_value_type{raii{9}, raii{9}},
map_value_type{raii{10}, raii{10}},
map_value_type{raii{9}, raii{9}},
map_value_type{raii{8}, raii{8}},
map_value_type{raii{7}, raii{7}},
map_value_type{raii{6}, raii{6}},
map_value_type{raii{5}, raii{5}},
map_value_type{raii{4}, raii{4}},
map_value_type{raii{3}, raii{3}},
map_value_type{raii{2}, raii{2}},
map_value_type{raii{1}, raii{1}},
map_value_type{raii{0}, raii{0}},
};
auto reference_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
auto v = std::vector<map_value_type>(values.begin(), values.end());
{
raii::reset_counts();
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
thread_runner(v, [&x, &values](boost::span<map_value_type> s) {
(void)s;
x = values;
});
test_matches_reference(x, reference_map);
BOOST_TEST_EQ(x.hash_function(), hasher(1));
BOOST_TEST_EQ(x.key_eq(), key_equal(2));
BOOST_TEST(x.get_allocator() == allocator_type(3));
BOOST_TEST_EQ(raii::copy_constructor, num_threads * 2 * x.size());
BOOST_TEST_EQ(raii::destructor, (num_threads - 1) * 2 * x.size());
BOOST_TEST_EQ(raii::move_constructor, 0u);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
}
check_raii_counts();
}
template <class G> void insert_and_assign(G gen, test::random_generator rg)
{
std::thread t1, t2, t3;
boost::latch start_latch(2), end_latch(2);
auto v1 = make_random_values(1024 * 16, [&] { return gen(rg); });
auto v2 = v1;
shuffle_values(v2);
auto reference_map =
boost::unordered_flat_map<raii, raii>(v1.begin(), v1.end());
raii::reset_counts();
{
map_type map1(v1.size(), hasher(1), key_equal(2), allocator_type(3));
map_type map2(v2.size(), hasher(1), key_equal(2), allocator_type(3));
t1 = std::thread([&v1, &map1, &start_latch, &end_latch] {
start_latch.arrive_and_wait();
for (auto const& v : v1) {
map1.insert(v);
}
end_latch.arrive_and_wait();
});
t2 = std::thread([&v2, &map2, &end_latch, &start_latch] {
start_latch.arrive_and_wait();
for (auto const& v : v2) {
map2.insert(v);
}
end_latch.arrive_and_wait();
});
std::atomic<unsigned> num_assignments{0};
t3 = std::thread([&map1, &map2, &end_latch, &num_assignments] {
while (map1.empty() && map2.empty()) {
std::this_thread::sleep_for(std::chrono::microseconds(10));
}
do {
map1 = map2;
std::this_thread::sleep_for(std::chrono::milliseconds(100));
map2 = map1;
std::this_thread::sleep_for(std::chrono::milliseconds(100));
++num_assignments;
} while (!end_latch.try_wait());
});
t1.join();
t2.join();
t3.join();
BOOST_TEST_GT(num_assignments, 0u);
test_fuzzy_matches_reference(map1, reference_map, rg);
test_fuzzy_matches_reference(map2, reference_map, rg);
}
check_raii_counts();
}
} // namespace
// clang-format off
@@ -142,6 +812,16 @@ UNORDERED_TEST(
copy_assign,
((value_type_generator))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(
move_assign,
((value_type_generator))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(
insert_and_assign,
((init_type_generator))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+125
View File
@@ -0,0 +1,125 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
test::seed_t initialize_seed{674140082};
using test::default_generator;
using test::limited_range;
using test::sequential;
using hasher = stateful_hash;
using key_equal = stateful_key_equal;
using allocator_type = stateful_allocator<std::pair<raii const, raii> >;
using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, allocator_type>;
using map_value_type = typename map_type::value_type;
namespace {
template <class G> void clear_tests(G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
raii::reset_counts();
map_type x(values.begin(), values.end(), values.size(), hasher(1),
key_equal(2), allocator_type(3));
BOOST_TEST_EQ(raii::copy_constructor, 2 * x.size());
BOOST_TEST_EQ(raii::destructor, 0u);
thread_runner(values, [&x](boost::span<map_value_type> s) {
(void)s;
x.clear();
});
BOOST_TEST(x.empty());
check_raii_counts();
}
template <class G> void insert_and_clear(G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
auto reference_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
raii::reset_counts();
std::thread t1, t2;
{
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
std::mutex m;
std::condition_variable cv;
std::atomic<bool> done{false};
std::atomic<unsigned> num_clears{0};
bool ready = false;
t1 = std::thread([&x, &values, &cv, &done, &m, &ready] {
for (auto i = 0u; i < values.size(); ++i) {
x.insert(values[i]);
if (i % (values.size() / 128) == 0) {
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
}
}
done = true;
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
});
t2 = std::thread([&x, &m, &cv, &done, &ready, &num_clears] {
do {
{
std::unique_lock<std::mutex> lk(m);
cv.wait(lk, [&ready] { return ready; });
ready = false;
}
x.clear();
++num_clears;
} while (!done);
});
t1.join();
t2.join();
BOOST_TEST_GE(num_clears, 1u);
if (!x.empty()) {
test_fuzzy_matches_reference(x, reference_map, rg);
}
}
check_raii_counts();
}
} // namespace
// clang-format off
UNORDERED_TEST(
clear_tests,
((value_type_generator))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(insert_and_clear,
((value_type_generator))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+142
View File
@@ -0,0 +1,142 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
test::seed_t initialize_seed{1634048962};
using test::default_generator;
using test::limited_range;
using test::sequential;
using hasher = stateful_hash;
using key_equal = stateful_key_equal;
using allocator_type = stateful_allocator<std::pair<raii const, raii> >;
using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, allocator_type>;
using map_value_type = typename map_type::value_type;
namespace {
UNORDERED_AUTO_TEST (simple_equality) {
{
map_type x1(
{{1, 11}, {2, 22}}, 0, hasher(1), key_equal(2), allocator_type(3));
map_type x2(
{{1, 11}, {2, 22}}, 0, hasher(2), key_equal(2), allocator_type(3));
map_type x3(
{{1, 11}, {2, 23}}, 0, hasher(2), key_equal(2), allocator_type(3));
map_type x4({{1, 11}}, 0, hasher(2), key_equal(2), allocator_type(3));
BOOST_TEST_EQ(x1.size(), x2.size());
BOOST_TEST(x1 == x2);
BOOST_TEST(!(x1 != x2));
BOOST_TEST_EQ(x1.size(), x3.size());
BOOST_TEST(!(x1 == x3));
BOOST_TEST(x1 != x3);
BOOST_TEST(x1.size() != x4.size());
BOOST_TEST(!(x1 == x4));
BOOST_TEST(x1 != x4);
}
}
template <class G> void insert_and_compare(G gen, test::random_generator rg)
{
auto vals1 = make_random_values(1024 * 8, [&] { return gen(rg); });
boost::unordered_flat_map<raii, raii> reference_map(
vals1.begin(), vals1.end());
{
raii::reset_counts();
map_type x1(vals1.size(), hasher(1), key_equal(2), allocator_type(3));
map_type x2(vals1.begin(), vals1.end(), vals1.size(), hasher(2),
key_equal(2), allocator_type(3));
std::thread t1, t2;
std::mutex m;
std::condition_variable cv;
std::atomic_bool done{false};
std::atomic<unsigned> num_compares{0};
bool ready = false;
BOOST_TEST(x1.empty());
t1 = std::thread([&x1, &m, &cv, &vals1, &done, &ready] {
for (std::size_t idx = 0; idx < vals1.size(); ++idx) {
auto const& v = vals1[idx];
x1.insert(v);
if (idx % (vals1.size() / 128) == 0) {
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
}
std::this_thread::yield();
}
done = true;
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
});
t2 = std::thread([&x1, &x2, &m, &cv, &done, &num_compares, &ready] {
do {
{
std::unique_lock<std::mutex> lk(m);
cv.wait(lk, [&ready] { return ready; });
ready = false;
}
volatile bool b = false;
b = x1 == x2;
b = x1 != x2;
b;
++num_compares;
std::this_thread::yield();
} while (!done);
BOOST_TEST(done);
});
t1.join();
t2.join();
BOOST_TEST_GE(num_compares, 1u);
BOOST_TEST(x1 == x2);
BOOST_TEST(!(x1 != x2));
test_matches_reference(x1, reference_map);
}
check_raii_counts();
}
} // namespace
// clang-format off
UNORDERED_TEST(
insert_and_compare,
((value_type_generator))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+65 -25
View File
@@ -225,14 +225,14 @@ namespace {
}
});
thread_runner(values, [&num_erased, &x, threshold](boost::span<T> s) {
for (auto const& k : s) {
(void)k;
auto count = x.erase_if(
[threshold](value_type& v) { return v.second.x_ > threshold; });
num_erased += count;
}
});
thread_runner(
values, [&num_erased, &x, threshold](boost::span<T> /* s */) {
for (std::size_t i = 0; i < 128; ++i) {
auto count = x.erase_if(
[threshold](value_type& v) { return v.second.x_ > threshold; });
num_erased += count;
}
});
BOOST_TEST_EQ(num_erased, expected_erasures);
BOOST_TEST_EQ(x.size(), old_size - num_erased);
@@ -245,6 +245,58 @@ namespace {
}
} erase_if;
struct free_fn_erase_if_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
using value_type = typename X::value_type;
std::atomic<std::uint64_t> num_erased{0};
auto const old_size = x.size();
auto const old_dc = +raii::default_constructor;
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
auto const old_d = +raii::destructor;
auto max = 0;
x.visit_all([&max](value_type const& v) {
if (v.second.x_ > max) {
max = v.second.x_;
}
});
auto threshold = max / 2;
auto expected_erasures = 0u;
x.visit_all([&expected_erasures, threshold](value_type const& v) {
if (v.second.x_ > threshold) {
++expected_erasures;
}
});
thread_runner(
values, [&num_erased, &x, threshold](boost::span<T> /* s */) {
for (std::size_t i = 0; i < 128; ++i) {
auto count = boost::unordered::erase_if(x,
[threshold](value_type& v) { return v.second.x_ > threshold; });
num_erased += count;
}
});
BOOST_TEST_EQ(num_erased, expected_erasures);
BOOST_TEST_EQ(x.size(), old_size - num_erased);
BOOST_TEST_EQ(raii::default_constructor, old_dc);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
BOOST_TEST_EQ(raii::destructor, old_d + 2 * num_erased);
}
} free_fn_erase_if;
struct erase_if_exec_policy_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
@@ -281,7 +333,7 @@ namespace {
thread_runner(values, [&num_invokes, &x, threshold](boost::span<T> s) {
(void)s;
x.erase_if(
std::execution::par_unseq, [&num_invokes, threshold](value_type& v) {
std::execution::par, [&num_invokes, threshold](value_type& v) {
++num_invokes;
return v.second.x_ > threshold;
});
@@ -317,25 +369,13 @@ namespace {
BOOST_TEST_EQ(x.size(), reference_map.size());
using value_type = typename X::value_type;
BOOST_TEST_EQ(x.size(), x.visit_all([&](value_type const& kv) {
BOOST_TEST(reference_map.contains(kv.first));
if (rg == test::sequential) {
BOOST_TEST_EQ(kv.second, reference_map[kv.first]);
}
}));
test_fuzzy_matches_reference(x, reference_map, rg);
eraser(values, x);
test_fuzzy_matches_reference(x, reference_map, rg);
}
BOOST_TEST_GE(raii::default_constructor, 0u);
BOOST_TEST_GE(raii::copy_constructor, 0u);
BOOST_TEST_GE(raii::move_constructor, 0u);
BOOST_TEST_GT(raii::destructor, 0u);
BOOST_TEST_EQ(raii::default_constructor + raii::copy_constructor +
raii::move_constructor,
raii::destructor);
check_raii_counts();
}
boost::unordered::concurrent_flat_map<raii, raii>* map;
@@ -353,7 +393,7 @@ UNORDERED_TEST(
erase,
((map))
((value_type_generator)(init_type_generator))
((lvalue_eraser)(lvalue_eraser_if)(erase_if)(erase_if_exec_policy))
((lvalue_eraser)(lvalue_eraser_if)(erase_if)(free_fn_erase_if)(erase_if_exec_policy))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(
+172
View File
@@ -0,0 +1,172 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "exception_helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
using allocator_type = stateful_allocator<std::pair<raii const, raii> >;
using hasher = stateful_hash;
using key_equal = stateful_key_equal;
using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, allocator_type>;
namespace {
test::seed_t initialize_seed(1794114520);
template <class G> void copy_assign(G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
{
raii::reset_counts();
unsigned num_throws = 0;
auto begin = values.begin();
auto mid =
values.begin() + static_cast<std::ptrdiff_t>(values.size() / 2);
auto end = values.end();
auto reference_map = boost::unordered_flat_map<raii, raii>(begin, mid);
map_type x(
begin, mid, values.size(), hasher(1), key_equal(2), allocator_type(3));
map_type y(
mid, end, values.size(), hasher(2), key_equal(1), allocator_type(4));
BOOST_TEST(!y.empty());
enable_exceptions();
for (std::size_t i = 0; i < 2 * alloc_throw_threshold; ++i) {
try {
y = x;
} catch (...) {
++num_throws;
}
}
disable_exceptions();
BOOST_TEST_GT(num_throws, 0u);
test_fuzzy_matches_reference(y, reference_map, rg);
}
check_raii_counts();
}
template <class G> void move_assign(G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
{
raii::reset_counts();
unsigned num_throws = 0;
auto begin = values.begin();
auto mid =
values.begin() + static_cast<std::ptrdiff_t>(values.size() / 2);
auto end = values.end();
auto reference_map = boost::unordered_flat_map<raii, raii>(begin, mid);
BOOST_TEST(
!boost::allocator_is_always_equal<allocator_type>::type::value);
BOOST_TEST(!boost::allocator_propagate_on_container_move_assignment<
allocator_type>::type::value);
for (std::size_t i = 0; i < 2 * alloc_throw_threshold; ++i) {
disable_exceptions();
map_type x(begin, mid, values.size(), hasher(1), key_equal(2),
allocator_type(3));
map_type y(
mid, end, values.size(), hasher(2), key_equal(1), allocator_type(4));
enable_exceptions();
try {
y = std::move(x);
} catch (...) {
++num_throws;
}
disable_exceptions();
test_fuzzy_matches_reference(y, reference_map, rg);
}
BOOST_TEST_GT(num_throws, 0u);
}
check_raii_counts();
}
UNORDERED_AUTO_TEST (intializer_list_assign) {
using value_type = typename map_type::value_type;
std::initializer_list<value_type> values{
value_type{raii{0}, raii{0}},
value_type{raii{1}, raii{1}},
value_type{raii{2}, raii{2}},
value_type{raii{3}, raii{3}},
value_type{raii{4}, raii{4}},
value_type{raii{5}, raii{5}},
value_type{raii{6}, raii{6}},
value_type{raii{6}, raii{6}},
value_type{raii{7}, raii{7}},
value_type{raii{8}, raii{8}},
value_type{raii{9}, raii{9}},
value_type{raii{10}, raii{10}},
value_type{raii{9}, raii{9}},
value_type{raii{8}, raii{8}},
value_type{raii{7}, raii{7}},
value_type{raii{6}, raii{6}},
value_type{raii{5}, raii{5}},
value_type{raii{4}, raii{4}},
value_type{raii{3}, raii{3}},
value_type{raii{2}, raii{2}},
value_type{raii{1}, raii{1}},
value_type{raii{0}, raii{0}},
};
{
raii::reset_counts();
unsigned num_throws = 0;
for (std::size_t i = 0; i < throw_threshold; ++i) {
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
enable_exceptions();
try {
x = values;
} catch (...) {
++num_throws;
}
disable_exceptions();
}
BOOST_TEST_GT(num_throws, 0u);
check_raii_counts();
}
}
} // namespace
using test::default_generator;
using test::limited_range;
using test::sequential;
// clang-format off
UNORDERED_TEST(
copy_assign,
((exception_value_type_generator))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(
move_assign,
((exception_value_type_generator))
((default_generator)(sequential)))
// clang-format on
RUN_TESTS()
+304
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@@ -0,0 +1,304 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "exception_helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
using allocator_type = stateful_allocator<std::pair<raii const, raii> >;
using hasher = stateful_hash;
using key_equal = stateful_key_equal;
using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, allocator_type>;
namespace {
test::seed_t initialize_seed(795610904);
UNORDERED_AUTO_TEST (bucket_constructor) {
raii::reset_counts();
bool was_thrown = false;
enable_exceptions();
for (std::size_t i = 0; i < alloc_throw_threshold; ++i) {
try {
map_type m(128);
} catch (...) {
was_thrown = true;
}
}
disable_exceptions();
BOOST_TEST(was_thrown);
}
template <class G> void iterator_range(G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
{
raii::reset_counts();
bool was_thrown = false;
enable_exceptions();
try {
map_type x(values.begin(), values.end(), 0, hasher(1), key_equal(2),
allocator_type(3));
} catch (...) {
was_thrown = true;
}
disable_exceptions();
BOOST_TEST(was_thrown);
check_raii_counts();
}
{
raii::reset_counts();
bool was_thrown = false;
enable_exceptions();
try {
map_type x(values.begin(), values.end(), allocator_type(3));
} catch (...) {
was_thrown = true;
}
disable_exceptions();
BOOST_TEST(was_thrown);
check_raii_counts();
}
{
raii::reset_counts();
bool was_thrown = false;
enable_exceptions();
try {
map_type x(
values.begin(), values.end(), values.size(), allocator_type(3));
} catch (...) {
was_thrown = true;
}
disable_exceptions();
BOOST_TEST(was_thrown);
check_raii_counts();
}
{
raii::reset_counts();
bool was_thrown = false;
enable_exceptions();
try {
map_type x(values.begin(), values.end(), values.size(), hasher(1),
allocator_type(3));
} catch (...) {
was_thrown = true;
}
disable_exceptions();
BOOST_TEST(was_thrown);
check_raii_counts();
}
}
template <class G> void copy_constructor(G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
{
raii::reset_counts();
bool was_thrown = false;
try {
map_type x(values.begin(), values.end(), 0);
enable_exceptions();
map_type y(x);
} catch (...) {
was_thrown = true;
}
disable_exceptions();
BOOST_TEST(was_thrown);
check_raii_counts();
}
{
raii::reset_counts();
bool was_thrown = false;
try {
map_type x(values.begin(), values.end(), 0);
enable_exceptions();
map_type y(x, allocator_type(4));
} catch (...) {
was_thrown = true;
}
disable_exceptions();
BOOST_TEST(was_thrown);
check_raii_counts();
}
}
template <class G> void move_constructor(G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
{
raii::reset_counts();
bool was_thrown = false;
try {
map_type x(values.begin(), values.end(), 0);
enable_exceptions();
map_type y(std::move(x), allocator_type(4));
} catch (...) {
was_thrown = true;
}
disable_exceptions();
BOOST_TEST(was_thrown);
check_raii_counts();
}
}
UNORDERED_AUTO_TEST (initializer_list_bucket_count) {
using value_type = typename map_type::value_type;
std::initializer_list<value_type> values{
value_type{raii{0}, raii{0}},
value_type{raii{1}, raii{1}},
value_type{raii{2}, raii{2}},
value_type{raii{3}, raii{3}},
value_type{raii{4}, raii{4}},
value_type{raii{5}, raii{5}},
value_type{raii{6}, raii{6}},
value_type{raii{6}, raii{6}},
value_type{raii{7}, raii{7}},
value_type{raii{8}, raii{8}},
value_type{raii{9}, raii{9}},
value_type{raii{10}, raii{10}},
value_type{raii{9}, raii{9}},
value_type{raii{8}, raii{8}},
value_type{raii{7}, raii{7}},
value_type{raii{6}, raii{6}},
value_type{raii{5}, raii{5}},
value_type{raii{4}, raii{4}},
value_type{raii{3}, raii{3}},
value_type{raii{2}, raii{2}},
value_type{raii{1}, raii{1}},
value_type{raii{0}, raii{0}},
};
{
raii::reset_counts();
unsigned num_throws = 0;
enable_exceptions();
for (std::size_t i = 0; i < throw_threshold; ++i) {
try {
map_type x(values, 0, hasher(1), key_equal(2), allocator_type(3));
} catch (...) {
++num_throws;
}
}
disable_exceptions();
BOOST_TEST_GT(num_throws, 0u);
check_raii_counts();
}
{
raii::reset_counts();
unsigned num_throws = 0;
enable_exceptions();
for (std::size_t i = 0; i < alloc_throw_threshold * 2; ++i) {
try {
map_type x(values, allocator_type(3));
} catch (...) {
++num_throws;
}
}
disable_exceptions();
BOOST_TEST_GT(num_throws, 0u);
check_raii_counts();
}
{
raii::reset_counts();
unsigned num_throws = 0;
enable_exceptions();
for (std::size_t i = 0; i < alloc_throw_threshold * 2; ++i) {
try {
map_type x(values, values.size() * 2, allocator_type(3));
} catch (...) {
++num_throws;
}
}
disable_exceptions();
BOOST_TEST_GT(num_throws, 0u);
check_raii_counts();
}
{
raii::reset_counts();
unsigned num_throws = 0;
enable_exceptions();
for (std::size_t i = 0; i < throw_threshold; ++i) {
try {
map_type x(values, values.size() * 2, hasher(1), allocator_type(3));
} catch (...) {
++num_throws;
}
}
disable_exceptions();
BOOST_TEST_GT(num_throws, 0u);
check_raii_counts();
}
}
} // namespace
using test::default_generator;
using test::limited_range;
using test::sequential;
// clang-format off
UNORDERED_TEST(
iterator_range,
((exception_value_type_generator))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(
copy_constructor,
((exception_value_type_generator))
((default_generator)(sequential)))
UNORDERED_TEST(
move_constructor,
((exception_value_type_generator))
((default_generator)(sequential)))
// clang-format on
RUN_TESTS()
+263
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// Copyright (C) 2023 Christian Mazakas
// 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)
#include "exception_helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
#include <boost/core/ignore_unused.hpp>
namespace {
test::seed_t initialize_seed(3202923);
struct lvalue_eraser_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
std::atomic<std::uint64_t> num_erased{0};
auto const old_size = x.size();
auto const old_dc = +raii::default_constructor;
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
auto const old_d = +raii::destructor;
enable_exceptions();
thread_runner(values, [&values, &num_erased, &x](boost::span<T>) {
for (auto const& k : values) {
try {
auto count = x.erase(k.first);
BOOST_TEST_LE(count, 1u);
BOOST_TEST_GE(count, 0u);
num_erased += count;
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_EQ(x.size(), old_size - num_erased);
BOOST_TEST_EQ(raii::default_constructor, old_dc);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
BOOST_TEST_EQ(raii::destructor, old_d + 2 * num_erased);
}
} lvalue_eraser;
struct lvalue_eraser_if_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
using value_type = typename X::value_type;
std::atomic<std::uint64_t> num_erased{0};
auto const old_size = x.size();
auto const old_dc = +raii::default_constructor;
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
auto const old_d = +raii::destructor;
auto max = 0;
x.visit_all([&max](value_type const& v) {
if (v.second.x_ > max) {
max = v.second.x_;
}
});
auto threshold = max / 2;
auto expected_erasures = 0u;
x.visit_all([&expected_erasures, threshold](value_type const& v) {
if (v.second.x_ > threshold) {
++expected_erasures;
}
});
enable_exceptions();
thread_runner(values, [&num_erased, &x, threshold](boost::span<T> s) {
for (auto const& k : s) {
try {
auto count = x.erase_if(k.first,
[threshold](value_type& v) { return v.second.x_ > threshold; });
num_erased += count;
BOOST_TEST_LE(count, 1u);
BOOST_TEST_GE(count, 0u);
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_LE(num_erased, expected_erasures);
BOOST_TEST_EQ(x.size(), old_size - num_erased);
BOOST_TEST_EQ(raii::default_constructor, old_dc);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
BOOST_TEST_EQ(raii::destructor, old_d + 2 * num_erased);
}
} lvalue_eraser_if;
struct erase_if_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
using value_type = typename X::value_type;
auto const old_size = x.size();
auto const old_dc = +raii::default_constructor;
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
auto const old_d = +raii::destructor;
auto max = 0;
x.visit_all([&max](value_type const& v) {
if (v.second.x_ > max) {
max = v.second.x_;
}
});
auto threshold = max / 2;
auto expected_erasures = 0u;
x.visit_all([&expected_erasures, threshold](value_type const& v) {
if (v.second.x_ > threshold) {
++expected_erasures;
}
});
enable_exceptions();
thread_runner(values, [&x, threshold](boost::span<T> /* s */) {
for (std::size_t i = 0; i < 256; ++i) {
try {
x.erase_if([threshold](value_type& v) {
static std::atomic<std::uint32_t> c{0};
auto t = ++c;
if (should_throw && (t % throw_threshold == 0)) {
throw exception_tag{};
}
return v.second.x_ > threshold;
});
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::default_constructor, old_dc);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
BOOST_TEST_EQ(raii::destructor, old_d + 2 * (old_size - x.size()));
}
} erase_if;
struct free_fn_erase_if_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
using value_type = typename X::value_type;
auto const old_size = x.size();
auto const old_dc = +raii::default_constructor;
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
auto const old_d = +raii::destructor;
auto max = 0;
x.visit_all([&max](value_type const& v) {
if (v.second.x_ > max) {
max = v.second.x_;
}
});
auto threshold = max / 2;
enable_exceptions();
thread_runner(values, [&x, threshold](boost::span<T> /* s */) {
for (std::size_t i = 0; i < 256; ++i) {
try {
boost::unordered::erase_if(x, [threshold](value_type& v) {
static std::atomic<std::uint32_t> c{0};
auto t = ++c;
if (should_throw && (t % throw_threshold == 0)) {
throw exception_tag{};
}
return v.second.x_ > threshold;
});
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::default_constructor, old_dc);
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
BOOST_TEST_EQ(raii::destructor, old_d + 2 * (old_size - x.size()));
}
} free_fn_erase_if;
template <class X, class G, class F>
void erase(X*, G gen, F eraser, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
auto reference_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
raii::reset_counts();
{
X x(values.size());
x.insert(values.begin(), values.end());
BOOST_TEST_EQ(x.size(), reference_map.size());
BOOST_TEST_EQ(raii::destructor, 0u);
test_fuzzy_matches_reference(x, reference_map, rg);
eraser(values, x);
test_fuzzy_matches_reference(x, reference_map, rg);
}
check_raii_counts();
}
boost::unordered::concurrent_flat_map<raii, raii, stateful_hash,
stateful_key_equal, stateful_allocator<std::pair<raii const, raii> > >* map;
} // namespace
using test::default_generator;
using test::limited_range;
using test::sequential;
// clang-format off
UNORDERED_TEST(
erase,
((map))
((exception_value_type_generator)(exception_init_type_generator))
((lvalue_eraser)(lvalue_eraser_if)(erase_if)(free_fn_erase_if))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+445
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@@ -0,0 +1,445 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "latch.hpp"
#include "../helpers/generators.hpp"
#include "../helpers/test.hpp"
#include <boost/container_hash/hash.hpp>
#include <boost/core/span.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <algorithm>
#include <atomic>
#include <cmath>
#include <condition_variable>
#include <cstddef>
#include <iostream>
#include <mutex>
#include <random>
#include <thread>
#include <type_traits>
#include <vector>
static std::size_t const num_threads =
std::max(2u, std::thread::hardware_concurrency());
std::atomic_bool should_throw{false};
constexpr std::uint32_t throw_threshold = 2500;
constexpr std::uint32_t alloc_throw_threshold = 10;
void enable_exceptions() { should_throw = true; }
void disable_exceptions() { should_throw = false; }
struct exception_tag
{
};
struct stateful_hash
{
int x_ = -1;
static std::atomic<std::uint32_t> c;
void throw_helper() const
{
auto n = ++c;
if (should_throw && ((n + 1) % throw_threshold == 0)) {
throw exception_tag{};
}
}
stateful_hash() {}
stateful_hash(stateful_hash const& rhs) : x_(rhs.x_) {}
stateful_hash(stateful_hash&& rhs) noexcept
{
auto tmp = x_;
x_ = rhs.x_;
rhs.x_ = tmp;
}
stateful_hash(int const x) : x_{x} {}
template <class T> std::size_t operator()(T const& t) const
{
throw_helper();
std::size_t h = static_cast<std::size_t>(x_);
boost::hash_combine(h, t);
return h;
}
bool operator==(stateful_hash const& rhs) const { return x_ == rhs.x_; }
friend std::ostream& operator<<(std::ostream& os, stateful_hash const& rhs)
{
os << "{ x_: " << rhs.x_ << " }";
return os;
}
friend void swap(stateful_hash& lhs, stateful_hash& rhs) noexcept
{
if (&lhs != &rhs) {
std::swap(lhs.x_, rhs.x_);
}
}
};
std::atomic<std::uint32_t> stateful_hash::c{0};
struct stateful_key_equal
{
int x_ = -1;
static std::atomic<std::uint32_t> c;
void throw_helper() const
{
auto n = ++c;
if (should_throw && ((n + 1) % throw_threshold == 0)) {
throw exception_tag{};
}
}
stateful_key_equal() = default;
stateful_key_equal(stateful_key_equal const&) = default;
stateful_key_equal(stateful_key_equal&& rhs) noexcept
{
auto tmp = x_;
x_ = rhs.x_;
rhs.x_ = tmp;
}
stateful_key_equal(int const x) : x_{x} {}
template <class T, class U> bool operator()(T const& t, U const& u) const
{
throw_helper();
return t == u;
}
bool operator==(stateful_key_equal const& rhs) const { return x_ == rhs.x_; }
friend std::ostream& operator<<(
std::ostream& os, stateful_key_equal const& rhs)
{
os << "{ x_: " << rhs.x_ << " }";
return os;
}
friend void swap(stateful_key_equal& lhs, stateful_key_equal& rhs) noexcept
{
if (&lhs != &rhs) {
std::swap(lhs.x_, rhs.x_);
}
}
};
std::atomic<std::uint32_t> stateful_key_equal::c{0};
static std::atomic<std::uint32_t> allocator_c = {};
template <class T> struct stateful_allocator
{
int x_ = -1;
void throw_helper() const
{
auto n = ++allocator_c;
if (should_throw && ((n + 1) % alloc_throw_threshold == 0)) {
throw exception_tag{};
}
}
using value_type = T;
stateful_allocator() = default;
stateful_allocator(stateful_allocator const&) = default;
stateful_allocator(stateful_allocator&&) = default;
stateful_allocator(int const x) : x_{x} {}
template <class U>
stateful_allocator(stateful_allocator<U> const& rhs) : x_{rhs.x_}
{
}
T* allocate(std::size_t n)
{
throw_helper();
return static_cast<T*>(::operator new(n * sizeof(T)));
}
void deallocate(T* p, std::size_t) { ::operator delete(p); }
bool operator==(stateful_allocator const& rhs) const { return x_ == rhs.x_; }
bool operator!=(stateful_allocator const& rhs) const { return x_ != rhs.x_; }
};
struct raii
{
static std::atomic<std::uint32_t> default_constructor;
static std::atomic<std::uint32_t> copy_constructor;
static std::atomic<std::uint32_t> move_constructor;
static std::atomic<std::uint32_t> destructor;
static std::atomic<std::uint32_t> copy_assignment;
static std::atomic<std::uint32_t> move_assignment;
static std::atomic<std::uint32_t> c;
void throw_helper() const
{
auto n = ++c;
if (should_throw && ((n + 1) % throw_threshold == 0)) {
throw exception_tag{};
}
}
int x_ = -1;
raii()
{
throw_helper();
++default_constructor;
}
raii(int const x) : x_{x}
{
throw_helper();
++default_constructor;
}
raii(raii const& rhs) : x_{rhs.x_}
{
throw_helper();
++copy_constructor;
}
raii(raii&& rhs) noexcept : x_{rhs.x_}
{
rhs.x_ = -1;
++move_constructor;
}
~raii() { ++destructor; }
raii& operator=(raii const& rhs)
{
throw_helper();
++copy_assignment;
if (this != &rhs) {
x_ = rhs.x_;
}
return *this;
}
raii& operator=(raii&& rhs) noexcept
{
++move_assignment;
if (this != &rhs) {
x_ = rhs.x_;
rhs.x_ = -1;
}
return *this;
}
friend bool operator==(raii const& lhs, raii const& rhs)
{
return lhs.x_ == rhs.x_;
}
friend bool operator!=(raii const& lhs, raii const& rhs)
{
return !(lhs == rhs);
}
friend bool operator==(raii const& lhs, int const x) { return lhs.x_ == x; }
friend bool operator!=(raii const& lhs, int const x)
{
return !(lhs.x_ == x);
}
friend bool operator==(int const x, raii const& rhs) { return rhs.x_ == x; }
friend bool operator!=(int const x, raii const& rhs)
{
return !(rhs.x_ == x);
}
friend std::ostream& operator<<(std::ostream& os, raii const& rhs)
{
os << "{ x_: " << rhs.x_ << " }";
return os;
}
friend std::ostream& operator<<(
std::ostream& os, std::pair<raii const, raii> const& rhs)
{
os << "pair<" << rhs.first << ", " << rhs.second << ">";
return os;
}
static void reset_counts()
{
default_constructor = 0;
copy_constructor = 0;
move_constructor = 0;
destructor = 0;
copy_assignment = 0;
move_assignment = 0;
c = 0;
stateful_hash::c = 0;
stateful_key_equal::c = 0;
allocator_c = 0;
}
friend void swap(raii& lhs, raii& rhs) { std::swap(lhs.x_, rhs.x_); }
};
std::atomic<std::uint32_t> raii::default_constructor{0};
std::atomic<std::uint32_t> raii::copy_constructor{0};
std::atomic<std::uint32_t> raii::move_constructor{0};
std::atomic<std::uint32_t> raii::destructor{0};
std::atomic<std::uint32_t> raii::copy_assignment{0};
std::atomic<std::uint32_t> raii::move_assignment{0};
std::atomic<std::uint32_t> raii::c{0};
std::size_t hash_value(raii const& r) noexcept
{
boost::hash<int> hasher;
return hasher(r.x_);
}
struct exception_value_type_generator_type
{
std::pair<raii const, raii> operator()(test::random_generator rg)
{
int* p = nullptr;
int a = generate(p, rg);
int b = generate(p, rg);
return std::make_pair(raii{a}, raii{b});
}
} exception_value_type_generator;
struct exception_init_type_generator_type
{
std::pair<raii, raii> operator()(test::random_generator rg)
{
int* p = nullptr;
int a = generate(p, rg);
int b = generate(p, rg);
return std::make_pair(raii{a}, raii{b});
}
} exception_init_type_generator;
template <class T>
std::vector<boost::span<T> > split(
boost::span<T> s, std::size_t const nt /* num threads*/)
{
std::vector<boost::span<T> > subslices;
subslices.reserve(nt);
auto a = s.size() / nt;
auto b = a;
if (s.size() % nt != 0) {
++b;
}
auto num_a = nt;
auto num_b = std::size_t{0};
if (nt * b > s.size()) {
num_a = nt * b - s.size();
num_b = nt - num_a;
}
auto sub_b = s.subspan(0, num_b * b);
auto sub_a = s.subspan(num_b * b);
for (std::size_t i = 0; i < num_b; ++i) {
subslices.push_back(sub_b.subspan(i * b, b));
}
for (std::size_t i = 0; i < num_a; ++i) {
auto const is_last = i == (num_a - 1);
subslices.push_back(
sub_a.subspan(i * a, is_last ? boost::dynamic_extent : a));
}
return subslices;
}
template <class T, class F> void thread_runner(std::vector<T>& values, F f)
{
boost::latch latch(static_cast<std::ptrdiff_t>(num_threads));
std::vector<std::thread> threads;
auto subslices = split<T>(values, num_threads);
for (std::size_t i = 0; i < num_threads; ++i) {
threads.emplace_back([&f, &subslices, i, &latch] {
latch.arrive_and_wait();
auto s = subslices[i];
f(s);
});
}
for (auto& t : threads) {
t.join();
}
}
template <class X, class Y>
void test_matches_reference(X const& x, Y const& reference_map)
{
using value_type = typename X::value_type;
BOOST_TEST_EQ(x.size(), x.visit_all([&](value_type const& kv) {
BOOST_TEST(reference_map.contains(kv.first));
BOOST_TEST_EQ(kv.second, reference_map.find(kv.first)->second);
}));
}
template <class X, class Y>
void test_fuzzy_matches_reference(
X const& x, Y const& reference_map, test::random_generator rg)
{
using value_type = typename X::value_type;
BOOST_TEST_EQ(x.size(), x.visit_all([&](value_type const& kv) {
BOOST_TEST(reference_map.contains(kv.first));
if (rg == test::sequential) {
BOOST_TEST_EQ(kv.second, reference_map.find(kv.first)->second);
}
}));
}
template <class T> using span_value_type = typename T::value_type;
void check_raii_counts()
{
BOOST_TEST_GT(raii::destructor, 0u);
BOOST_TEST_EQ(
raii::default_constructor + raii::copy_constructor + raii::move_constructor,
raii::destructor);
}
template <class T> void shuffle_values(std::vector<T>& v)
{
std::random_device rd;
std::mt19937 g(rd());
std::shuffle(v.begin(), v.end(), g);
}
template <class F>
auto make_random_values(std::size_t count, F f) -> std::vector<decltype(f())>
{
using vector_type = std::vector<decltype(f())>;
vector_type v;
v.reserve(count);
for (std::size_t i = 0; i < count; ++i) {
v.emplace_back(f());
}
return v;
}
+431
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@@ -0,0 +1,431 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "exception_helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
#include <boost/core/ignore_unused.hpp>
namespace {
test::seed_t initialize_seed(73987);
struct lvalue_inserter_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
enable_exceptions();
std::atomic<std::uint64_t> num_inserts{0};
thread_runner(values, [&x, &num_inserts](boost::span<T> s) {
for (auto const& r : s) {
try {
bool b = x.insert(r);
if (b) {
++num_inserts;
}
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
}
} lvalue_inserter;
struct norehash_lvalue_inserter_type : public lvalue_inserter_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
x.reserve(values.size());
lvalue_inserter_type::operator()(values, x);
BOOST_TEST_GT(raii::copy_constructor, 0u);
BOOST_TEST_EQ(raii::move_constructor, 0u);
}
} norehash_lvalue_inserter;
struct rvalue_inserter_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
BOOST_TEST_EQ(raii::copy_constructor, 0u);
enable_exceptions();
std::atomic<std::uint64_t> num_inserts{0};
thread_runner(values, [&x, &num_inserts](boost::span<T> s) {
for (auto& r : s) {
try {
bool b = x.insert(std::move(r));
if (b) {
++num_inserts;
}
} catch (...) {
}
}
});
disable_exceptions();
if (!std::is_same<T, typename X::value_type>::value) {
BOOST_TEST_EQ(raii::copy_constructor, 0u);
}
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
}
} rvalue_inserter;
struct norehash_rvalue_inserter_type : public rvalue_inserter_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
x.reserve(values.size());
BOOST_TEST_EQ(raii::copy_constructor, 0u);
BOOST_TEST_EQ(raii::move_constructor, 0u);
rvalue_inserter_type::operator()(values, x);
if (std::is_same<T, typename X::value_type>::value) {
BOOST_TEST_EQ(raii::copy_constructor, x.size());
BOOST_TEST_EQ(raii::move_constructor, x.size());
} else {
BOOST_TEST_EQ(raii::copy_constructor, 0u);
BOOST_TEST_EQ(raii::move_constructor, 2 * x.size());
}
}
} norehash_rvalue_inserter;
struct iterator_range_inserter_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
for (std::size_t i = 0; i < 10; ++i) {
x.insert(values[i]);
}
enable_exceptions();
thread_runner(values, [&x](boost::span<T> s) {
try {
x.insert(s.begin(), s.end());
} catch (...) {
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::copy_assignment, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
}
} iterator_range_inserter;
struct lvalue_insert_or_assign_copy_assign_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
enable_exceptions();
thread_runner(values, [&x](boost::span<T> s) {
for (auto& r : s) {
try {
x.insert_or_assign(r.first, r.second);
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::default_constructor, 0u);
BOOST_TEST_GT(raii::copy_constructor, 0u);
BOOST_TEST_GT(raii::move_constructor, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
}
} lvalue_insert_or_assign_copy_assign;
struct lvalue_insert_or_assign_move_assign_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
enable_exceptions();
thread_runner(values, [&x](boost::span<T> s) {
for (auto& r : s) {
try {
x.insert_or_assign(r.first, std::move(r.second));
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::default_constructor, 0u);
BOOST_TEST_GT(raii::copy_constructor, 0u);
BOOST_TEST_GT(raii::move_constructor, 0u);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
}
} lvalue_insert_or_assign_move_assign;
struct rvalue_insert_or_assign_copy_assign_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
enable_exceptions();
thread_runner(values, [&x](boost::span<T> s) {
for (auto& r : s) {
try {
x.insert_or_assign(std::move(r.first), r.second);
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::default_constructor, 0u);
BOOST_TEST_GT(raii::copy_constructor, 0u);
BOOST_TEST_GT(raii::move_constructor, x.size()); // rehashing
BOOST_TEST_EQ(raii::move_assignment, 0u);
}
} rvalue_insert_or_assign_copy_assign;
struct rvalue_insert_or_assign_move_assign_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
enable_exceptions();
thread_runner(values, [&x](boost::span<T> s) {
for (auto& r : s) {
try {
x.insert_or_assign(std::move(r.first), std::move(r.second));
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::default_constructor, 0u);
BOOST_TEST_EQ(raii::copy_constructor, 0u);
BOOST_TEST_GT(raii::move_constructor, 0u);
BOOST_TEST_EQ(raii::copy_assignment, 0u);
}
} rvalue_insert_or_assign_move_assign;
struct lvalue_insert_or_cvisit_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
std::atomic<std::uint64_t> num_inserts{0};
enable_exceptions();
thread_runner(values, [&x, &num_inserts](boost::span<T> s) {
for (auto& r : s) {
try {
bool b = x.insert_or_cvisit(
r, [](typename X::value_type const& v) { (void)v; });
if (b) {
++num_inserts;
}
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_GT(num_inserts, 0u);
BOOST_TEST_EQ(raii::default_constructor, 0u);
// don't check move construction count here because of rehashing
BOOST_TEST_GT(raii::move_constructor, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
}
} lvalue_insert_or_cvisit;
struct lvalue_insert_or_visit_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
std::atomic<std::uint64_t> num_inserts{0};
enable_exceptions();
thread_runner(values, [&x, &num_inserts](boost::span<T> s) {
for (auto& r : s) {
try {
bool b =
x.insert_or_visit(r, [](typename X::value_type& v) { (void)v; });
if (b) {
++num_inserts;
}
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_GT(num_inserts, 0u);
BOOST_TEST_EQ(raii::default_constructor, 0u);
// don't check move construction count here because of rehashing
BOOST_TEST_GT(raii::move_constructor, 0u);
BOOST_TEST_EQ(raii::move_assignment, 0u);
}
} lvalue_insert_or_visit;
struct rvalue_insert_or_cvisit_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
std::atomic<std::uint64_t> num_inserts{0};
enable_exceptions();
thread_runner(values, [&x, &num_inserts](boost::span<T> s) {
for (auto& r : s) {
try {
bool b = x.insert_or_cvisit(
std::move(r), [](typename X::value_type const& v) { (void)v; });
if (b) {
++num_inserts;
}
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_GT(num_inserts, 0u);
BOOST_TEST_EQ(raii::default_constructor, 0u);
}
} rvalue_insert_or_cvisit;
struct rvalue_insert_or_visit_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
std::atomic<std::uint64_t> num_inserts{0};
enable_exceptions();
thread_runner(values, [&x, &num_inserts](boost::span<T> s) {
for (auto& r : s) {
try {
bool b = x.insert_or_visit(
std::move(r), [](typename X::value_type& v) { (void)v; });
if (b) {
++num_inserts;
}
} catch (...) {
}
}
});
disable_exceptions();
BOOST_TEST_GT(num_inserts, 0u);
BOOST_TEST_EQ(raii::default_constructor, 0u);
if (!std::is_same<T, typename X::value_type>::value) {
BOOST_TEST_EQ(raii::copy_constructor, 0u);
}
}
} rvalue_insert_or_visit;
struct iterator_range_insert_or_cvisit_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
for (std::size_t i = 0; i < 10; ++i) {
x.insert(values[i]);
}
enable_exceptions();
thread_runner(values, [&x](boost::span<T> s) {
try {
x.insert_or_cvisit(s.begin(), s.end(),
[](typename X::value_type const& v) { (void)v; });
} catch (...) {
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::default_constructor, 0u);
}
} iterator_range_insert_or_cvisit;
struct iterator_range_insert_or_visit_type
{
template <class T, class X> void operator()(std::vector<T>& values, X& x)
{
for (std::size_t i = 0; i < 10; ++i) {
x.insert(values[i]);
}
enable_exceptions();
thread_runner(values, [&x](boost::span<T> s) {
try {
x.insert_or_visit(s.begin(), s.end(),
[](typename X::value_type const& v) { (void)v; });
} catch (...) {
}
});
disable_exceptions();
BOOST_TEST_EQ(raii::default_constructor, 0u);
}
} iterator_range_insert_or_visit;
template <class X, class G, class F>
void insert(X*, G gen, F inserter, test::random_generator rg)
{
disable_exceptions();
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
auto reference_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
raii::reset_counts();
{
X x;
inserter(values, x);
test_fuzzy_matches_reference(x, reference_map, rg);
}
check_raii_counts();
}
boost::unordered::concurrent_flat_map<raii, raii, stateful_hash,
stateful_key_equal, stateful_allocator<std::pair<raii const, raii> > >* map;
} // namespace
using test::default_generator;
using test::limited_range;
using test::sequential;
// clang-format off
UNORDERED_TEST(
insert,
((map))
((exception_value_type_generator)(exception_init_type_generator))
((lvalue_inserter)(rvalue_inserter)(iterator_range_inserter)
(norehash_lvalue_inserter)(norehash_rvalue_inserter)
(lvalue_insert_or_cvisit)(lvalue_insert_or_visit)
(rvalue_insert_or_cvisit)(rvalue_insert_or_visit)
(iterator_range_insert_or_cvisit)(iterator_range_insert_or_visit))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(
insert,
((map))
((exception_init_type_generator))
((lvalue_insert_or_assign_copy_assign)(lvalue_insert_or_assign_move_assign)
(rvalue_insert_or_assign_copy_assign)(rvalue_insert_or_assign_move_assign))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+78
View File
@@ -0,0 +1,78 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "exception_helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
#include <boost/core/ignore_unused.hpp>
using allocator_type = stateful_allocator<std::pair<raii const, raii> >;
using hasher = stateful_hash;
using key_equal = stateful_key_equal;
using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, allocator_type>;
namespace {
test::seed_t initialize_seed(223333016);
template <class G> void merge(G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 16, [&] { return gen(rg); });
auto reference_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
raii::reset_counts();
auto begin = values.begin();
auto mid = begin + static_cast<std::ptrdiff_t>(values.size() / 2);
auto end = values.end();
{
unsigned num_throws = 0;
for (unsigned i = 0; i < 5 * alloc_throw_threshold; ++i) {
disable_exceptions();
map_type x1(0, hasher(1), key_equal(2), allocator_type(3));
x1.insert(begin, mid);
map_type x2(0, hasher(2), key_equal(1), allocator_type(3));
x2.insert(mid, end);
enable_exceptions();
try {
x1.merge(x2);
} catch (...) {
++num_throws;
}
disable_exceptions();
test_fuzzy_matches_reference(x1, reference_map, rg);
test_fuzzy_matches_reference(x2, reference_map, rg);
}
BOOST_TEST_GT(num_throws, 0u);
}
check_raii_counts();
}
} // namespace
using test::default_generator;
using test::limited_range;
using test::sequential;
// clang-format off
UNORDERED_TEST(
merge,
((exception_value_type_generator))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+61
View File
@@ -0,0 +1,61 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "helpers.hpp"
#include <boost/config/workaround.hpp>
#include <boost/unordered/concurrent_flat_map_fwd.hpp>
test::seed_t initialize_seed{32304628};
using test::default_generator;
using test::limited_range;
using test::sequential;
template <class T>
void swap_call(boost::unordered::concurrent_flat_map<T, T>& x1,
boost::unordered::concurrent_flat_map<T, T>& x2)
{
swap(x1, x2);
}
template <class T>
bool equal_call(boost::unordered::concurrent_flat_map<T, T>& x1,
boost::unordered::concurrent_flat_map<T, T>& x2)
{
return x1 == x2;
}
template <class T>
bool unequal_call(boost::unordered::concurrent_flat_map<T, T>& x1,
boost::unordered::concurrent_flat_map<T, T>& x2)
{
return x1 != x2;
}
#include <boost/unordered/concurrent_flat_map.hpp>
using map_type = boost::unordered::concurrent_flat_map<int, int>;
#if !defined(BOOST_CLANG_VERSION) || \
BOOST_WORKAROUND(BOOST_CLANG_VERSION, < 30700) || \
BOOST_WORKAROUND(BOOST_CLANG_VERSION, >= 30800)
// clang-3.7 seems to have a codegen bug here so we workaround it
UNORDERED_AUTO_TEST (fwd_swap_call) {
map_type x1, x2;
swap_call(x1, x2);
}
#endif
UNORDERED_AUTO_TEST (fwd_equal_call) {
map_type x1, x2;
BOOST_TEST(equal_call(x1, x2));
}
UNORDERED_AUTO_TEST (fwd_unequal_call) {
map_type x1, x2;
BOOST_TEST_NOT(unequal_call(x1, x2));
}
RUN_TESTS()
+226 -22
View File
@@ -1,6 +1,12 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#ifndef BOOST_UNORDERED_TEST_CFOA_HELPERS_HPP
#define BOOST_UNORDERED_TEST_CFOA_HELPERS_HPP
#include "latch.hpp"
#include "../helpers/generators.hpp"
#include "../helpers/test.hpp"
@@ -8,15 +14,20 @@
#include <boost/core/span.hpp>
#include <boost/unordered/unordered_flat_map.hpp>
#include <algorithm>
#include <atomic>
#include <cmath>
#include <condition_variable>
#include <cstddef>
#include <iostream>
#include <mutex>
#include <random>
#include <thread>
#include <type_traits>
#include <vector>
constexpr std::size_t const num_threads = 16;
static std::size_t const num_threads =
std::max(2u, std::thread::hardware_concurrency());
struct transp_hash
{
@@ -24,7 +35,6 @@ struct transp_hash
template <class T> std::size_t operator()(T const& t) const noexcept
{
std::this_thread::yield();
return boost::hash<T>()(t);
}
};
@@ -35,7 +45,6 @@ struct transp_key_equal
template <class T, class U> bool operator()(T const& lhs, U const& rhs) const
{
std::this_thread::yield();
return lhs == rhs;
}
};
@@ -59,7 +68,6 @@ struct stateful_hash
{
std::size_t h = static_cast<std::size_t>(x_);
boost::hash_combine(h, t);
std::this_thread::yield();
return h;
}
@@ -96,7 +104,6 @@ struct stateful_key_equal
template <class T, class U> bool operator()(T const& t, U const& u) const
{
std::this_thread::yield();
return t == u;
}
@@ -231,6 +238,8 @@ struct raii
copy_assignment = 0;
move_assignment = 0;
}
friend void swap(raii& lhs, raii& rhs) { std::swap(lhs.x_, rhs.x_); }
};
std::atomic<std::uint32_t> raii::default_constructor{0};
@@ -246,6 +255,16 @@ std::size_t hash_value(raii const& r) noexcept
return hasher(r.x_);
}
namespace std {
template <> struct hash<raii>
{
std::size_t operator()(raii const& r) const noexcept
{
return hash_value(r);
}
};
} // namespace std
template <class F>
auto make_random_values(std::size_t count, F f) -> std::vector<decltype(f())>
{
@@ -320,25 +339,14 @@ std::vector<boost::span<T> > split(
template <class T, class F> void thread_runner(std::vector<T>& values, F f)
{
std::mutex m;
std::condition_variable cv;
std::size_t c = 0;
boost::latch latch(static_cast<std::ptrdiff_t>(num_threads));
std::vector<std::thread> threads;
auto subslices = split<T>(values, num_threads);
for (std::size_t i = 0; i < num_threads; ++i) {
threads.emplace_back([&f, &subslices, i, &m, &cv, &c] {
{
std::unique_lock<std::mutex> lk(m);
++c;
if (c == num_threads) {
lk.unlock();
cv.notify_all();
} else {
cv.wait(lk, [&] { return c == num_threads; });
}
}
threads.emplace_back([&f, &subslices, i, &latch] {
latch.arrive_and_wait();
auto s = subslices[i];
f(s);
@@ -377,9 +385,6 @@ template <class T> using span_value_type = typename T::value_type;
void check_raii_counts()
{
BOOST_TEST_GE(raii::default_constructor, 0u);
BOOST_TEST_GE(raii::copy_constructor, 0u);
BOOST_TEST_GE(raii::move_constructor, 0u);
BOOST_TEST_GT(raii::destructor, 0u);
BOOST_TEST_EQ(
@@ -387,4 +392,203 @@ void check_raii_counts()
raii::destructor);
}
template <class T> void shuffle_values(std::vector<T>& v)
{
std::random_device rd;
std::mt19937 g(rd());
std::shuffle(v.begin(), v.end(), g);
}
template <class T> class ptr;
template <class T> class const_ptr;
template <class T> class fancy_allocator;
struct void_ptr
{
template <typename T> friend class ptr;
private:
void* ptr_;
public:
void_ptr() : ptr_(0) {}
template <typename T> explicit void_ptr(ptr<T> const& x) : ptr_(x.ptr_) {}
// I'm not using the safe bool idiom because the containers should be
// able to cope with bool conversions.
operator bool() const { return !!ptr_; }
bool operator==(void_ptr const& x) const { return ptr_ == x.ptr_; }
bool operator!=(void_ptr const& x) const { return ptr_ != x.ptr_; }
};
class void_const_ptr
{
template <typename T> friend class const_ptr;
private:
void* ptr_;
public:
void_const_ptr() : ptr_(0) {}
template <typename T>
explicit void_const_ptr(const_ptr<T> const& x) : ptr_(x.ptr_)
{
}
// I'm not using the safe bool idiom because the containers should be
// able to cope with bool conversions.
operator bool() const { return !!ptr_; }
bool operator==(void_const_ptr const& x) const { return ptr_ == x.ptr_; }
bool operator!=(void_const_ptr const& x) const { return ptr_ != x.ptr_; }
};
template <class T> class ptr
{
friend class fancy_allocator<T>;
friend class const_ptr<T>;
friend struct void_ptr;
T* ptr_;
ptr(T* x) : ptr_(x) {}
public:
ptr() : ptr_(0) {}
explicit ptr(void_ptr const& x) : ptr_((T*)x.ptr_) {}
T& operator*() const { return *ptr_; }
T* operator->() const { return ptr_; }
ptr& operator++()
{
++ptr_;
return *this;
}
ptr operator++(int)
{
ptr tmp(*this);
++ptr_;
return tmp;
}
ptr operator+(std::ptrdiff_t s) const { return ptr<T>(ptr_ + s); }
friend ptr operator+(std::ptrdiff_t s, ptr p) { return ptr<T>(s + p.ptr_); }
std::ptrdiff_t operator-(ptr p) const { return ptr_ - p.ptr_; }
ptr operator-(std::ptrdiff_t s) const { return ptr(ptr_ - s); }
T& operator[](std::ptrdiff_t s) const { return ptr_[s]; }
bool operator!() const { return !ptr_; }
static ptr pointer_to(T& p) { return ptr(boost::addressof(p)); }
// I'm not using the safe bool idiom because the containers should be
// able to cope with bool conversions.
operator bool() const { return !!ptr_; }
bool operator==(ptr const& x) const { return ptr_ == x.ptr_; }
bool operator!=(ptr const& x) const { return ptr_ != x.ptr_; }
bool operator<(ptr const& x) const { return ptr_ < x.ptr_; }
bool operator>(ptr const& x) const { return ptr_ > x.ptr_; }
bool operator<=(ptr const& x) const { return ptr_ <= x.ptr_; }
bool operator>=(ptr const& x) const { return ptr_ >= x.ptr_; }
};
template <class T> class const_ptr
{
friend class fancy_allocator<T>;
friend struct const_void_ptr;
T const* ptr_;
const_ptr(T const* ptr) : ptr_(ptr) {}
public:
const_ptr() : ptr_(0) {}
const_ptr(ptr<T> const& x) : ptr_(x.ptr_) {}
explicit const_ptr(void_const_ptr const& x) : ptr_((T const*)x.ptr_) {}
T const& operator*() const { return *ptr_; }
T const* operator->() const { return ptr_; }
const_ptr& operator++()
{
++ptr_;
return *this;
}
const_ptr operator++(int)
{
const_ptr tmp(*this);
++ptr_;
return tmp;
}
const_ptr operator+(std::ptrdiff_t s) const { return const_ptr(ptr_ + s); }
friend const_ptr operator+(std::ptrdiff_t s, const_ptr p)
{
return ptr<T>(s + p.ptr_);
}
T const& operator[](int s) const { return ptr_[s]; }
bool operator!() const { return !ptr_; }
operator bool() const { return !!ptr_; }
bool operator==(const_ptr const& x) const { return ptr_ == x.ptr_; }
bool operator!=(const_ptr const& x) const { return ptr_ != x.ptr_; }
bool operator<(const_ptr const& x) const { return ptr_ < x.ptr_; }
bool operator>(const_ptr const& x) const { return ptr_ > x.ptr_; }
bool operator<=(const_ptr const& x) const { return ptr_ <= x.ptr_; }
bool operator>=(const_ptr const& x) const { return ptr_ >= x.ptr_; }
};
template <class T> class fancy_allocator
{
public:
typedef std::size_t size_type;
typedef std::ptrdiff_t difference_type;
typedef void_ptr void_pointer;
typedef void_const_ptr const_void_pointer;
typedef ptr<T> pointer;
typedef const_ptr<T> const_pointer;
typedef T& reference;
typedef T const& const_reference;
typedef T value_type;
template <class U> struct rebind
{
typedef fancy_allocator<U> other;
};
fancy_allocator() {}
template <class Y> fancy_allocator(fancy_allocator<Y> const&) {}
fancy_allocator(fancy_allocator const&) {}
~fancy_allocator() {}
pointer address(reference r) { return pointer(&r); }
const_pointer address(const_reference r) { return const_pointer(&r); }
pointer allocate(size_type n)
{
return pointer(static_cast<T*>(::operator new(n * sizeof(T))));
}
template <class Y> pointer allocate(size_type n, const_ptr<Y>)
{
return pointer(static_cast<T*>(::operator new(n * sizeof(T))));
}
void deallocate(pointer p, size_type) { ::operator delete((void*)p.ptr_); }
template <class U, class... Args> void construct(U* p, Args&&... args)
{
new ((void*)p) U(std::forward<Args>(args)...);
}
template <class U> void destroy(U* p) { p->~U(); }
size_type max_size() const { return 1000; }
public:
fancy_allocator& operator=(fancy_allocator const&) { return *this; }
};
#endif // BOOST_UNORDERED_TEST_CFOA_HELPERS_HPP
+16 -1
View File
@@ -540,9 +540,24 @@ namespace {
}
}
UNORDERED_AUTO_TEST (insert_sfinae_test) {
// mostly a compile-time tests to ensure that there's no ambiguity when a
// user does this
using value_type =
typename boost::unordered::concurrent_flat_map<raii, raii>::value_type;
boost::unordered::concurrent_flat_map<raii, raii> x;
x.insert({1, 2});
x.insert_or_visit({2, 3}, [](value_type&) {});
x.insert_or_cvisit({3, 4}, [](value_type const&) {});
}
boost::unordered::concurrent_flat_map<raii, raii>* map;
boost::unordered::concurrent_flat_map<raii, raii, transp_hash,
transp_key_equal>* trans_map;
boost::unordered::concurrent_flat_map<raii, raii, boost::hash<raii>,
std::equal_to<raii>, fancy_allocator<std::pair<raii const, raii> > >*
fancy_map;
} // namespace
@@ -557,7 +572,7 @@ UNORDERED_TEST(
UNORDERED_TEST(
insert,
((map))
((map)(fancy_map))
((value_type_generator)(init_type_generator))
((lvalue_inserter)(rvalue_inserter)(iterator_range_inserter)
(norehash_lvalue_inserter)(norehash_rvalue_inserter)
+87
View File
@@ -0,0 +1,87 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#ifndef BOOST_UNORDERED_TEST_CFOA_LATCH_HPP
#define BOOST_UNORDERED_TEST_CFOA_LATCH_HPP
#include <boost/assert.hpp>
#include <climits>
#include <condition_variable>
#include <cstddef>
#include <mutex>
namespace boost {
class latch
{
private:
std::ptrdiff_t n_;
mutable std::mutex m_;
mutable std::condition_variable cv_;
public:
explicit latch(std::ptrdiff_t expected) : n_{expected}, m_{}, cv_{}
{
BOOST_ASSERT(n_ >= 0);
BOOST_ASSERT(n_ <= max());
}
latch(latch const&) = delete;
latch& operator=(latch const&) = delete;
~latch() = default;
void count_down(std::ptrdiff_t n = 1)
{
std::unique_lock<std::mutex> lk(m_);
count_down_and_notify(lk, n);
}
bool try_wait() const noexcept
{
std::unique_lock<std::mutex> lk(m_);
return is_ready();
}
void wait() const
{
std::unique_lock<std::mutex> lk(m_);
wait_impl(lk);
}
void arrive_and_wait(std::ptrdiff_t n = 1)
{
std::unique_lock<std::mutex> lk(m_);
bool should_wait = count_down_and_notify(lk, n);
if (should_wait) {
wait_impl(lk);
}
}
static constexpr std::ptrdiff_t max() noexcept { return INT_MAX; }
private:
bool is_ready() const { return n_ == 0; }
bool count_down_and_notify(
std::unique_lock<std::mutex>& lk, std::ptrdiff_t n)
{
n_ -= n;
if (n_ == 0) {
lk.unlock();
cv_.notify_all();
return false;
}
return true;
}
void wait_impl(std::unique_lock<std::mutex>& lk) const
{
cv_.wait(lk, [this] { return this->is_ready(); });
}
};
} // namespace boost
#endif // BOOST_UNORDERED_TEST_CFOA_LATCH_HPP
+155
View File
@@ -0,0 +1,155 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#define BOOST_ENABLE_ASSERT_HANDLER
#include "latch.hpp"
#include <boost/core/lightweight_test.hpp>
#include <thread>
#include <vector>
struct exception
{
};
namespace boost {
void assertion_failed(
char const* expr, char const* function, char const* file, long line)
{
(void)expr;
(void)function;
(void)file;
(void)line;
throw exception{};
}
} // namespace boost
namespace {
void test_max() { BOOST_TEST_EQ(boost::latch::max(), INT_MAX); }
void test_constructor()
{
{
auto const f = [] {
boost::latch l(-1);
(void)l;
};
BOOST_TEST_THROWS(f(), exception);
}
{
std::ptrdiff_t n = 0;
boost::latch l(n);
BOOST_TEST(l.try_wait());
}
{
std::ptrdiff_t n = 16;
boost::latch l(n);
BOOST_TEST_NOT(l.try_wait());
l.count_down(16);
BOOST_TEST(l.try_wait());
}
#if PTRDIFF_MAX > INT_MAX
{
auto const f = [] {
std::ptrdiff_t n = INT_MAX;
n += 10;
boost::latch l(n);
(void)l;
};
BOOST_TEST_THROWS(f(), exception);
}
#endif
}
void test_count_down_and_wait()
{
constexpr std::ptrdiff_t n = 1024;
boost::latch l(2 * n);
bool bs[] = {false, false};
std::thread t1([&] {
l.wait();
BOOST_TEST(bs[0]);
BOOST_TEST(bs[1]);
});
std::thread t2([&] {
for (int i = 0; i < n; ++i) {
if (i == (n - 1)) {
bs[0] = true;
} else {
BOOST_TEST_NOT(l.try_wait());
}
l.count_down(1);
}
});
for (int i = 0; i < n; ++i) {
if (i == (n - 1)) {
bs[1] = true;
} else {
BOOST_TEST_NOT(l.try_wait());
}
l.count_down(1);
}
t1.join();
t2.join();
BOOST_TEST(l.try_wait());
}
void test_arrive_and_wait()
{
std::ptrdiff_t const n = 16;
boost::latch l(2 * n);
int xs[n] = {0};
std::vector<std::thread> threads;
for (int i = 0; i < n; ++i) {
threads.emplace_back([&l, &xs, i, n] {
(void)n;
for (int j = 0; j < n; ++j) {
BOOST_TEST_EQ(xs[j], 0);
}
l.arrive_and_wait(2);
xs[i] = 1;
});
}
for (auto& t : threads) {
t.join();
}
for (int i = 0; i < n; ++i) {
BOOST_TEST_EQ(xs[i], 1);
}
}
} // namespace
int main()
{
test_max();
test_constructor();
test_count_down_and_wait();
test_arrive_and_wait();
return boost::report_errors();
}
+216
View File
@@ -0,0 +1,216 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
test::seed_t initialize_seed{402031699};
using test::default_generator;
using test::limited_range;
using test::sequential;
using hasher = stateful_hash;
using key_equal = stateful_key_equal;
using allocator_type = stateful_allocator<std::pair<raii const, raii> >;
using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, allocator_type>;
using map_value_type = typename map_type::value_type;
struct
{
template <class X1, class X2>
std::size_t operator()(X1& x1, X2& x2) const noexcept
{
return x1.merge(x2);
}
} lvalue_merge;
struct
{
template <class X1, class X2>
std::size_t operator()(X1& x1, X2& x2) const noexcept
{
return x1.merge(std::move(x2));
}
} rvalue_merge;
namespace {
template <class F, class G>
void merge_tests(F merger, G gen, test::random_generator rg)
{
auto values = make_random_values(1024 * 8, [&] { return gen(rg); });
auto ref_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
{
raii::reset_counts();
map_type x(values.size(), hasher(1), key_equal(2), allocator_type(3));
auto const old_cc = +raii::copy_constructor;
std::atomic<unsigned long long> expected_copies{0};
std::atomic<unsigned long long> num_merged{0};
thread_runner(values, [&x, &expected_copies, &num_merged, merger](
boost::span<map_value_type> s) {
using map2_type = boost::unordered::concurrent_flat_map<raii, raii,
std::hash<raii>, std::equal_to<raii>, allocator_type>;
map2_type y(s.begin(), s.end(), s.size(), allocator_type(3));
expected_copies += 2 * y.size();
BOOST_TEST(x.get_allocator() == y.get_allocator());
num_merged += merger(x, y);
});
BOOST_TEST_EQ(raii::copy_constructor, old_cc + expected_copies);
BOOST_TEST_EQ(raii::move_constructor, 2 * ref_map.size());
BOOST_TEST_EQ(+num_merged, ref_map.size());
test_fuzzy_matches_reference(x, ref_map, rg);
}
check_raii_counts();
}
template <class G>
void insert_and_merge_tests(G gen, test::random_generator rg)
{
using map2_type = boost::unordered::concurrent_flat_map<raii, raii,
std::hash<raii>, std::equal_to<raii>, allocator_type>;
auto vals1 = make_random_values(1024 * 8, [&] { return gen(rg); });
auto vals2 = make_random_values(1024 * 4, [&] { return gen(rg); });
auto ref_map = boost::unordered_flat_map<raii, raii>();
ref_map.insert(vals1.begin(), vals1.end());
ref_map.insert(vals2.begin(), vals2.end());
{
raii::reset_counts();
map_type x1(2 * vals1.size(), hasher(1), key_equal(2), allocator_type(3));
map2_type x2(2 * vals1.size(), allocator_type(3));
std::thread t1, t2, t3;
boost::latch l(2);
std::mutex m;
std::condition_variable cv;
std::atomic_bool done1{false}, done2{false};
std::atomic<unsigned long long> num_merges{0};
std::atomic<unsigned long long> call_count{0};
bool ready = false;
auto const old_mc = +raii::move_constructor;
BOOST_TEST_EQ(old_mc, 0u);
t1 = std::thread([&x1, &vals1, &l, &done1, &cv, &ready, &m] {
l.arrive_and_wait();
for (std::size_t idx = 0; idx < vals1.size(); ++idx) {
auto const& val = vals1[idx];
x1.insert(val);
if (idx % (vals1.size() / 128) == 0) {
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
std::this_thread::yield();
}
}
done1 = true;
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
});
t2 = std::thread([&x2, &vals2, &l, &done2, &cv, &m, &ready] {
l.arrive_and_wait();
for (std::size_t idx = 0; idx < vals2.size(); ++idx) {
auto const& val = vals2[idx];
x2.insert(val);
if (idx % 100 == 0) {
std::this_thread::yield();
}
}
done2 = true;
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
});
t3 = std::thread(
[&x1, &x2, &m, &cv, &done1, &done2, &num_merges, &call_count, &ready] {
while (x1.empty() && x2.empty()) {
}
do {
{
std::unique_lock<std::mutex> lk(m);
cv.wait(lk, [&ready] { return ready; });
ready = false;
}
num_merges += x1.merge(x2);
std::this_thread::yield();
num_merges += x2.merge(x1);
call_count += 1;
} while (!done1 || !done2);
BOOST_TEST(done1);
BOOST_TEST(done2);
});
t1.join();
t2.join();
t3.join();
if (num_merges > 0) {
// num merges is 0 most commonly in the cast of the limited_range
// generator as both maps will contains keys from 0 to 99
BOOST_TEST_EQ(+raii::move_constructor, 2 * num_merges);
BOOST_TEST_GE(call_count, 1u);
}
x1.merge(x2);
test_fuzzy_matches_reference(x1, ref_map, rg);
}
check_raii_counts();
}
} // namespace
// clang-format off
UNORDERED_TEST(
merge_tests,
((lvalue_merge)(rvalue_merge))
((value_type_generator))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(
insert_and_merge_tests,
((value_type_generator))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+178
View File
@@ -0,0 +1,178 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
using test::default_generator;
using test::limited_range;
using test::sequential;
using hasher = stateful_hash;
using key_equal = stateful_key_equal;
using allocator_type = stateful_allocator<std::pair<raii const, raii> >;
using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, allocator_type>;
using map_value_type = typename map_type::value_type;
namespace {
test::seed_t initialize_seed{748775921};
UNORDERED_AUTO_TEST (rehash_no_insert) {
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
BOOST_TEST_EQ(x.bucket_count(), 0u);
x.rehash(1024);
BOOST_TEST_GE(x.bucket_count(), 1024u);
x.rehash(512);
BOOST_TEST_GE(x.bucket_count(), 512u);
BOOST_TEST_LT(x.bucket_count(), 1024u);
x.rehash(0);
BOOST_TEST_EQ(x.bucket_count(), 0u);
}
UNORDERED_AUTO_TEST (reserve_no_insert) {
using size_type = map_type::size_type;
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
auto f = [&x](double c) {
return static_cast<size_type>(std::ceil(c / x.max_load_factor()));
};
BOOST_TEST_EQ(x.bucket_count(), f(0.0));
x.reserve(1024);
BOOST_TEST_GE(x.bucket_count(), f(1024.0));
x.reserve(512);
BOOST_TEST_GE(x.bucket_count(), f(512.0));
BOOST_TEST_LT(x.bucket_count(), f(1024.0));
x.reserve(0);
BOOST_TEST_EQ(x.bucket_count(), f(0.0));
}
template <class G>
void insert_and_erase_with_rehash(G gen, test::random_generator rg)
{
auto vals1 = make_random_values(1024 * 8, [&] { return gen(rg); });
auto erase_indices = std::vector<std::size_t>(vals1.size());
for (std::size_t idx = 0; idx < erase_indices.size(); ++idx) {
erase_indices[idx] = idx;
}
shuffle_values(erase_indices);
auto ref_map = boost::unordered_flat_map<raii, raii>();
ref_map.insert(vals1.begin(), vals1.end());
{
raii::reset_counts();
map_type x(0, hasher(1), key_equal(2), allocator_type(3));
std::thread t1, t2, t3;
boost::latch l(2);
std::mutex m;
std::condition_variable cv;
std::atomic_bool done1{false}, done2{false};
std::atomic<unsigned long long> call_count{0};
bool ready = false;
auto const old_mc = +raii::move_constructor;
BOOST_TEST_EQ(old_mc, 0u);
t1 = std::thread([&x, &vals1, &l, &done1, &cv, &ready, &m] {
l.arrive_and_wait();
for (std::size_t idx = 0; idx < vals1.size(); ++idx) {
auto const& val = vals1[idx];
x.insert(val);
if (idx % (vals1.size() / 128) == 0) {
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
std::this_thread::yield();
}
}
done1 = true;
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
});
t2 =
std::thread([&x, &vals1, &erase_indices, &l, &done2, &cv, &m, &ready] {
l.arrive_and_wait();
for (std::size_t idx = 0; idx < erase_indices.size(); ++idx) {
auto const& val = vals1[erase_indices[idx]];
x.erase(val.first);
if (idx % 100 == 0) {
std::this_thread::yield();
}
}
done2 = true;
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
});
t3 =
std::thread([&x, &vals1, &m, &cv, &done1, &done2, &call_count, &ready] {
do {
{
std::unique_lock<std::mutex> lk(m);
cv.wait(lk, [&ready] { return ready; });
ready = false;
}
auto const bc = static_cast<std::size_t>(rand()) % vals1.size();
x.rehash(bc);
call_count += 1;
std::this_thread::yield();
} while (!done1 || !done2);
BOOST_TEST(done1);
BOOST_TEST(done2);
});
t1.join();
t2.join();
t3.join();
BOOST_TEST_GE(call_count, 1u);
test_fuzzy_matches_reference(x, ref_map, rg);
}
check_raii_counts();
}
} // namespace
// clang-format off
UNORDERED_TEST(
insert_and_erase_with_rehash,
((value_type_generator))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+303
View File
@@ -0,0 +1,303 @@
// Copyright (C) 2023 Christian Mazakas
// 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)
#include "helpers.hpp"
#include <boost/unordered/concurrent_flat_map.hpp>
test::seed_t initialize_seed{996130204};
using test::default_generator;
using test::limited_range;
using test::sequential;
template <class T> struct pocs_allocator
{
using propagate_on_container_swap = std::true_type;
int x_ = -1;
using value_type = T;
pocs_allocator() = default;
pocs_allocator(pocs_allocator const&) = default;
pocs_allocator(pocs_allocator&&) = default;
pocs_allocator(int const x) : x_{x} {}
pocs_allocator& operator=(pocs_allocator const& rhs)
{
if (this != &rhs) {
x_ = rhs.x_;
}
return *this;
}
template <class U> pocs_allocator(pocs_allocator<U> const& rhs) : x_{rhs.x_}
{
}
T* allocate(std::size_t n)
{
return static_cast<T*>(::operator new(n * sizeof(T)));
}
void deallocate(T* p, std::size_t) { ::operator delete(p); }
bool operator==(pocs_allocator const& rhs) const { return x_ == rhs.x_; }
bool operator!=(pocs_allocator const& rhs) const { return x_ != rhs.x_; }
friend void swap(pocs_allocator& lhs, pocs_allocator& rhs) noexcept
{
std::swap(lhs.x_, rhs.x_);
}
};
using hasher = stateful_hash;
using key_equal = stateful_key_equal;
using allocator_type = stateful_allocator<std::pair<raii const, raii> >;
using map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, allocator_type>;
using map_value_type = typename map_type::value_type;
using pocs_allocator_type = pocs_allocator<std::pair<const raii, raii> >;
using pocs_map_type = boost::unordered::concurrent_flat_map<raii, raii, hasher,
key_equal, pocs_allocator_type>;
template <class T> struct is_nothrow_member_swappable
{
static bool const value =
noexcept(std::declval<T&>().swap(std::declval<T&>()));
};
BOOST_STATIC_ASSERT(is_nothrow_member_swappable<
boost::unordered::concurrent_flat_map<int, int, std::hash<int>,
std::equal_to<int>, std::allocator<std::pair<int const, int> > > >::value);
BOOST_STATIC_ASSERT(is_nothrow_member_swappable<pocs_map_type>::value);
BOOST_STATIC_ASSERT(!is_nothrow_member_swappable<map_type>::value);
namespace {
struct
{
template <class T> void operator()(T& x1, T& x2) const { x1.swap(x2); }
} member_fn_swap;
struct
{
template <class T> void operator()(T& x1, T& x2) const
{
using boost::unordered::swap;
swap(x1, x2);
}
} free_fn_swap;
template <class X, class F, class G>
void swap_tests(X*, F swapper, G gen, test::random_generator rg)
{
using allocator = typename X::allocator_type;
bool const pocs =
boost::allocator_propagate_on_container_swap<allocator>::type::value;
auto vals1 = make_random_values(1024 * 8, [&] { return gen(rg); });
auto vals2 = make_random_values(1024 * 4, [&] { return gen(rg); });
auto ref_map1 =
boost::unordered_flat_map<raii, raii>(vals1.begin(), vals1.end());
auto ref_map2 =
boost::unordered_flat_map<raii, raii>(vals2.begin(), vals2.end());
{
raii::reset_counts();
X x1(vals1.begin(), vals1.end(), vals1.size(), hasher(1), key_equal(2),
allocator(3));
X x2(vals2.begin(), vals2.end(), vals2.size(), hasher(2), key_equal(1),
pocs ? allocator(4) : allocator(3));
if (pocs) {
BOOST_TEST(x1.get_allocator() != x2.get_allocator());
} else {
BOOST_TEST(x1.get_allocator() == x2.get_allocator());
}
auto const old_cc = +raii::copy_constructor;
auto const old_mc = +raii::move_constructor;
thread_runner(vals1, [&x1, &x2, swapper](boost::span<map_value_type> s) {
(void)s;
swapper(x1, x2);
swapper(x2, x1);
});
BOOST_TEST_EQ(raii::copy_constructor, old_cc);
BOOST_TEST_EQ(raii::move_constructor, old_mc);
if (pocs) {
if (x1.get_allocator() == allocator(3)) {
BOOST_TEST(x2.get_allocator() == allocator(4));
} else {
BOOST_TEST(x1.get_allocator() == allocator(4));
BOOST_TEST(x2.get_allocator() == allocator(3));
}
} else {
BOOST_TEST(x1.get_allocator() == allocator(3));
BOOST_TEST(x1.get_allocator() == x2.get_allocator());
}
if (x1.size() == ref_map1.size()) {
test_matches_reference(x1, ref_map1);
test_matches_reference(x2, ref_map2);
BOOST_TEST_EQ(x1.hash_function(), hasher(1));
BOOST_TEST_EQ(x1.key_eq(), key_equal(2));
BOOST_TEST_EQ(x2.hash_function(), hasher(2));
BOOST_TEST_EQ(x2.key_eq(), key_equal(1));
} else {
test_matches_reference(x2, ref_map1);
test_matches_reference(x1, ref_map2);
BOOST_TEST_EQ(x1.hash_function(), hasher(2));
BOOST_TEST_EQ(x1.key_eq(), key_equal(1));
BOOST_TEST_EQ(x2.hash_function(), hasher(1));
BOOST_TEST_EQ(x2.key_eq(), key_equal(2));
}
}
check_raii_counts();
}
template <class F, class G>
void insert_and_swap(F swapper, G gen, test::random_generator rg)
{
auto vals1 = make_random_values(1024 * 8, [&] { return gen(rg); });
auto vals2 = make_random_values(1024 * 4, [&] { return gen(rg); });
{
raii::reset_counts();
map_type x1(vals1.size(), hasher(1), key_equal(2), allocator_type(3));
map_type x2(vals2.size(), hasher(2), key_equal(1), allocator_type(3));
std::thread t1, t2, t3;
boost::latch l(2);
std::mutex m;
std::condition_variable cv;
std::atomic_bool done1{false}, done2{false};
std::atomic<unsigned> num_swaps{0};
bool ready = false;
t1 = std::thread([&x1, &vals1, &l, &done1, &cv, &ready, &m] {
l.arrive_and_wait();
for (std::size_t idx = 0; idx < vals1.size(); ++idx) {
auto const& val = vals1[idx];
x1.insert(val);
if (idx % (vals1.size() / 128) == 0) {
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
}
std::this_thread::yield();
}
done1 = true;
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
});
t2 = std::thread([&x2, &vals2, &l, &done2, &ready, &cv, &m] {
l.arrive_and_wait();
for (std::size_t idx = 0; idx < vals2.size(); ++idx) {
auto const& val = vals2[idx];
x2.insert(val);
if (idx % 100 == 0) {
std::this_thread::yield();
}
}
done2 = true;
{
std::unique_lock<std::mutex> lk(m);
ready = true;
}
cv.notify_all();
});
t3 = std::thread(
[&x1, &x2, &m, &cv, &done1, &done2, &num_swaps, swapper, &ready] {
do {
{
std::unique_lock<std::mutex> lk(m);
cv.wait(lk, [&ready] { return ready; });
ready = false;
}
swapper(x1, x2);
++num_swaps;
std::this_thread::yield();
} while (!done1 || !done2);
BOOST_TEST(done1);
BOOST_TEST(done2);
});
t1.join();
t2.join();
t3.join();
BOOST_TEST_GT(num_swaps, 0u);
if (x1.hash_function() == hasher(1)) {
BOOST_TEST_EQ(x1.key_eq(), key_equal(2));
BOOST_TEST_EQ(x2.hash_function(), hasher(2));
BOOST_TEST_EQ(x2.key_eq(), key_equal(1));
} else {
BOOST_TEST_EQ(x1.hash_function(), hasher(2));
BOOST_TEST_EQ(x1.key_eq(), key_equal(1));
BOOST_TEST_EQ(x2.hash_function(), hasher(1));
BOOST_TEST_EQ(x2.key_eq(), key_equal(2));
}
}
check_raii_counts();
}
map_type* map;
pocs_map_type* pocs_map;
} // namespace
// clang-format off
UNORDERED_TEST(
swap_tests,
((map)(pocs_map))
((member_fn_swap)(free_fn_swap))
((value_type_generator))
((default_generator)(sequential)(limited_range)))
UNORDERED_TEST(insert_and_swap,
((member_fn_swap)(free_fn_swap))
((value_type_generator))
((default_generator)(sequential)(limited_range)))
// clang-format on
RUN_TESTS()
+141 -3
View File
@@ -107,6 +107,45 @@ namespace {
num_visits = 0;
total_count = 0;
}
{
thread_runner(values, [&x, &total_count](boost::span<T> s) {
for (auto const& val : s) {
auto r = val.first.x_;
BOOST_TEST(r >= 0);
auto count = x.count(val.first);
BOOST_TEST_EQ(count, 1u);
total_count += count;
count = x.count(val.second);
BOOST_TEST_EQ(count, 0u);
}
});
BOOST_TEST_EQ(total_count, values.size());
num_visits = 0;
total_count = 0;
}
{
thread_runner(values, [&x](boost::span<T> s) {
for (auto const& val : s) {
auto r = val.first.x_;
BOOST_TEST(r >= 0);
auto contains = x.contains(val.first);
BOOST_TEST(contains);
contains = x.contains(val.second);
BOOST_TEST(!contains);
}
});
num_visits = 0;
total_count = 0;
}
}
} lvalue_visitor;
@@ -204,6 +243,45 @@ namespace {
num_visits = 0;
total_count = 0;
}
{
thread_runner(values, [&x, &total_count](boost::span<T> s) {
for (auto const& val : s) {
auto r = val.first.x_;
BOOST_TEST(r >= 0);
auto count = x.count(val.first.x_);
BOOST_TEST_EQ(count, 1u);
total_count += count;
count = x.count(val.second.x_);
BOOST_TEST_EQ(count, 0u);
}
});
BOOST_TEST_EQ(total_count, values.size());
num_visits = 0;
total_count = 0;
}
{
thread_runner(values, [&x](boost::span<T> s) {
for (auto const& val : s) {
auto r = val.first.x_;
BOOST_TEST(r >= 0);
auto contains = x.contains(val.first.x_);
BOOST_TEST(contains);
contains = x.contains(val.second.x_);
BOOST_TEST(!contains);
}
});
num_visits = 0;
total_count = 0;
}
}
} transp_visitor;
@@ -299,7 +377,7 @@ namespace {
thread_runner(values, [&x, &mut_visitor](boost::span<T>) {
std::atomic<std::uint64_t> num_visits{0};
x.visit_all(std::execution::par_unseq, mut_visitor(num_visits));
x.visit_all(std::execution::par, mut_visitor(num_visits));
BOOST_TEST_EQ(x.size(), num_visits);
});
}
@@ -309,7 +387,7 @@ namespace {
std::atomic<std::uint64_t> num_visits{0};
auto const& y = x;
y.visit_all(std::execution::par_unseq, const_visitor(num_visits));
y.visit_all(std::execution::par, const_visitor(num_visits));
BOOST_TEST_EQ(x.size(), num_visits);
});
}
@@ -317,7 +395,7 @@ namespace {
{
thread_runner(values, [&x, &const_visitor](boost::span<T>) {
std::atomic<std::uint64_t> num_visits{0};
x.cvisit_all(std::execution::par_unseq, const_visitor(num_visits));
x.cvisit_all(std::execution::par, const_visitor(num_visits));
BOOST_TEST_EQ(x.size(), num_visits);
});
}
@@ -342,6 +420,7 @@ namespace {
auto reference_map =
boost::unordered_flat_map<raii, raii>(values.begin(), values.end());
raii::reset_counts();
{
@@ -423,6 +502,58 @@ namespace {
BOOST_TEST_EQ(raii::destructor, 0u);
}
template <class X, class G>
void insert_and_visit(X*, G gen, test::random_generator rg)
{
// here we attempt to ensure happens-before and synchronizes-with
// the visitation thread essentially chases the insertion one
// we double-check unreloated loads/stores to ensure that a store is visible
// in the visitation thread
BOOST_TEST(rg == test::sequential);
auto const values = make_random_values(1024 * 16, [&] { return gen(rg); });
{
raii::reset_counts();
X x;
std::thread t1, t2;
boost::latch l(2);
std::vector<std::string> strs(values.size());
t1 = std::thread([&l, &values, &x, &strs] {
l.arrive_and_wait();
for (std::size_t idx = 0; idx < values.size(); ++idx) {
strs[idx] = "rawr";
auto const& val = values[idx];
x.insert(val);
}
});
t2 = std::thread([&l, &values, &x, &strs] {
l.arrive_and_wait();
for (std::size_t idx = 0; idx < values.size(); ++idx) {
std::atomic_bool b{false};
while (!b) {
x.cvisit(values[idx].first,
[&b, &strs, idx, &values](typename X::value_type const& v) {
BOOST_TEST_EQ(v.second, values[idx].second);
BOOST_TEST_EQ(strs[idx], "rawr");
b = true;
});
}
}
});
t1.join();
t2.join();
}
check_raii_counts();
}
boost::unordered::concurrent_flat_map<raii, raii>* map;
boost::unordered::concurrent_flat_map<raii, raii, transp_hash,
transp_key_equal>* transp_map;
@@ -456,6 +587,13 @@ UNORDERED_TEST(
((default_generator)(sequential)(limited_range))
)
UNORDERED_TEST(
insert_and_visit,
((map))
((value_type_generator))
((sequential))
)
// clang-format on
RUN_TESTS()

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