Reuse compression/decompression results in compression benchmarks by robert3005 · Pull Request #9744 · vortex-data/vortex

robert3005 · 2026-09-03T11:05:51Z

Avoid decompressing and reloading files multiple times in benchmark run

codspeed-hq · 2026-09-03T11:15:05Z

Merging this PR will improve performance by 25.56%

⚠️

Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data.

For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

⚠️

Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

⚡ 4 improved benchmarks
✅ 2195 untouched benchmarks
⏩ 206 skipped benchmarks¹

Performance Changes

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
⚡	WallTime	`arrow_checked_add_u32_neon[16384]`	20.4 µs	12.8 µs	+59.98%
⚡	WallTime	`arrow_checked_add_u32_avx2[16384]`	21.3 µs	17.6 µs	+20.68%
⚡	WallTime	`words_gather_scalar_avx2[65536]`	9.3 µs	8.2 µs	+13.46%
⚡	Simulation	`allocate_drop_arrow[0]`	456.9 ns	402.7 ns	+13.45%

Tip

Curious why performance improved? Comment @codspeedbot explain why performance improved on this PR, or directly use the CodSpeed MCP with your agent.

_{Comparing rk/compressionbench (d889616) with develop (3170657)}

206 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩

github-actions · 2026-09-03T21:25:07Z

Polar Signals Profiling Results

Latest Run

Status	Commit	Job	Attempt	Link
🟢 Done	`d889616`	compress-bench	1	Explore Profiling Data

Previous Runs (3)

Status	Commit	Job	Attempt	Link
🟢 Done	`1fb4aad`	compress-bench	1	Explore Profiling Data
🟢 Done	`c7361f2`	compress-bench	1	Explore Profiling Data
🟢 Done	`fc2a30c`	compress-bench	1	Explore Profiling Data

Powered by Polar Signals Cloud

github-actions · 2026-09-03T21:38:01Z

Benchmarks: Compression 📖

Commits: PR d8896165 vs base 3170657a

vortex / vortex-file-compressed / ns (0.940x ➖, 4↑ 0↓)

name	ns (PR / base / %diff)
compress time/Arade	879500353 / 938695513 / -6.3%
compress time/Bimbo	3861606686 / 4277299076 / -9.7%
compress time/CMSprovider	2972422158 / 3184979226 / -6.7%
compress time/Euro2016	344663374 / 362189925 / -4.8%
compress time/Food	316315782 / 340600523 / -7.1%
compress time/HashTags	582856968 / 626456752 / -7.0%
compress time/TPC-H l_comment canonical	781715156 / 839284508 / -6.9%
compress time/TPC-H l_comment chunked	783317049 / 835125030 / -6.2%
compress time/taxi	428550598 / 464089048 / -7.7%
compress time/wide table cols=100 chunks=1 rows=1000	7237156 / 7045742 / +2.7%
compress time/wide table cols=100 chunks=50 rows=1000	7039197 / 7099791 / -0.9%
compress time/wide table cols=1000 chunks=1 rows=1000	69557578 / 71938881 / -3.3%
compress time/wide table cols=1000 chunks=50 rows=1000	71123928 / 70802076 / +0.5%
compress time/wide table cols=10000 chunks=1 rows=1000	770067575 / 798153041 / -3.5%
compress time/wide table cols=10000 chunks=50 rows=1000	761456207 / 805490834 / -5.5%
decompress time/Arade	10775337 / 12351500 / -12.8% 🟢
decompress time/Bimbo	60657423 / 60685469 / -0.0%
decompress time/CMSprovider	27684114 / 30791586 / -10.1% 🟢
decompress time/Euro2016	8315811 / 8845736 / -6.0%
decompress time/Food	3650180 / 3731191 / -2.2%
decompress time/HashTags	72093576 / 73928321 / -2.5%
decompress time/TPC-H l_comment canonical	21090269 / 22781647 / -7.4%
decompress time/TPC-H l_comment chunked	21289434 / 23342158 / -8.8%
decompress time/taxi	7859226 / 8351082 / -5.9%
decompress time/wide table cols=100 chunks=1 rows=1000	2036993 / 2194297 / -7.2%
decompress time/wide table cols=100 chunks=50 rows=1000	2080504 / 2207853 / -5.8%
decompress time/wide table cols=1000 chunks=1 rows=1000	19845073 / 21015420 / -5.6%
decompress time/wide table cols=1000 chunks=50 rows=1000	19868121 / 21486017 / -7.5%
decompress time/wide table cols=10000 chunks=1 rows=1000	232317668 / 272850086 / -14.9% 🟢
decompress time/wide table cols=10000 chunks=50 rows=1000	230754396 / 256685311 / -10.1% 🟢

vortex / vortex-file-compressed / bytes (1.000x ➖, 0↑ 0↓)

name	bytes (PR / base / %diff)
vortex-file-compressed size/Arade	144460980 / 144460980 / +0.0%
vortex-file-compressed size/Bimbo	461842908 / 461842908 / +0.0%
vortex-file-compressed size/CMSprovider	415191460 / 415191460 / +0.0%
vortex-file-compressed size/Euro2016	157665124 / 157847508 / -0.1%
vortex-file-compressed size/Food	41581624 / 41581624 / +0.0%
vortex-file-compressed size/HashTags	177850636 / 177850636 / +0.0%
vortex-file-compressed size/TPC-H l_comment canonical	163461696 / 163461696 / +0.0%
vortex-file-compressed size/TPC-H l_comment chunked	163461696 / 163461696 / +0.0%
vortex-file-compressed size/taxi	51475172 / 51475172 / +0.0%
vortex-file-compressed size/wide table cols=100 chunks=1 rows=1000	932744 / 932744 / +0.0%
vortex-file-compressed size/wide table cols=100 chunks=50 rows=1000	932744 / 932744 / +0.0%
vortex-file-compressed size/wide table cols=1000 chunks=1 rows=1000	9309944 / 9309944 / +0.0%
vortex-file-compressed size/wide table cols=1000 chunks=50 rows=1000	9309944 / 9309944 / +0.0%
vortex-file-compressed size/wide table cols=10000 chunks=1 rows=1000	93117944 / 93117944 / +0.0%
vortex-file-compressed size/wide table cols=10000 chunks=50 rows=1000	93117944 / 93117944 / +0.0%

vortex / vortex-file-compressed / ratio (0.970x ➖, 2↑ 1↓)

name	ratio (PR / base / %diff)
vortex:parquet-zstd ratio compress time/Arade	0.390622387 / 0.413222792 / -5.5%
vortex:parquet-zstd ratio compress time/Bimbo	0.326686898 / 0.358380041 / -8.8%
vortex:parquet-zstd ratio compress time/CMSprovider	0.465261567 / 0.491188254 / -5.3%
vortex:parquet-zstd ratio compress time/Euro2016	0.31833753 / 0.332944615 / -4.4%
vortex:parquet-zstd ratio compress time/Food	0.428539285 / 0.457849067 / -6.4%
vortex:parquet-zstd ratio compress time/HashTags	0.318249967 / 0.336677029 / -5.5%
vortex:parquet-zstd ratio compress time/TPC-H l_comment canonical	0.296901851 / 0.316293333 / -6.1%
vortex:parquet-zstd ratio compress time/TPC-H l_comment chunked	0.296288847 / 0.311784636 / -5.0%
vortex:parquet-zstd ratio compress time/taxi	0.392367583 / 0.421612469 / -6.9%
vortex:parquet-zstd ratio compress time/wide table cols=100 chunks=1 rows=1000	1.81945841 / 1.7806505 / +2.2%
vortex:parquet-zstd ratio compress time/wide table cols=100 chunks=50 rows=1000	1.77483342 / 1.80010877 / -1.4%
vortex:parquet-zstd ratio compress time/wide table cols=1000 chunks=1 rows=1000	1.58728508 / 1.61638297 / -1.8%
vortex:parquet-zstd ratio compress time/wide table cols=1000 chunks=50 rows=1000	1.60523422 / 1.55183061 / +3.4%
vortex:parquet-zstd ratio compress time/wide table cols=10000 chunks=1 rows=1000	1.67120087 / 1.75243147 / -4.6%
vortex:parquet-zstd ratio compress time/wide table cols=10000 chunks=50 rows=1000	1.65668741 / 1.7055586 / -2.9%
vortex:parquet-zstd ratio decompress time/Arade	0.0193682967 / 0.021935663 / -11.7% 🟢
vortex:parquet-zstd ratio decompress time/Bimbo	0.0380326191 / 0.0380810937 / -0.1%
vortex:parquet-zstd ratio decompress time/CMSprovider	0.0203715592 / 0.0223345796 / -8.8%
vortex:parquet-zstd ratio decompress time/Euro2016	0.0250952113 / 0.026623404 / -5.7%
vortex:parquet-zstd ratio decompress time/Food	0.021552149 / 0.0218175907 / -1.2%
vortex:parquet-zstd ratio decompress time/HashTags	0.140165361 / 0.143560393 / -2.4%
vortex:parquet-zstd ratio decompress time/TPC-H l_comment canonical	0.0427435068 / 0.0460512796 / -7.2%
vortex:parquet-zstd ratio decompress time/TPC-H l_comment chunked	0.0431221643 / 0.0471111921 / -8.5%
vortex:parquet-zstd ratio decompress time/taxi	0.0361523271 / 0.0383058379 / -5.6%
vortex:parquet-zstd ratio decompress time/wide table cols=100 chunks=1 rows=1000	0.99212628 / 1.07217958 / -7.5%
vortex:parquet-zstd ratio decompress time/wide table cols=100 chunks=50 rows=1000	1.03051211 / 1.08319895 / -4.9%
vortex:parquet-zstd ratio decompress time/wide table cols=1000 chunks=1 rows=1000	0.874513984 / 0.889403236 / -1.7%
vortex:parquet-zstd ratio decompress time/wide table cols=1000 chunks=50 rows=1000	0.862937869 / 0.872348082 / -1.1%
vortex:parquet-zstd ratio decompress time/wide table cols=10000 chunks=1 rows=1000	0.95225048 / 1.1205691 / -15.0% 🟢
vortex:parquet-zstd ratio decompress time/wide table cols=10000 chunks=50 rows=1000	0.944875468 / 0.854723654 / +10.5% 🔴
vortex:parquet-zstd size/Arade	0.559895285 / 0.559895285 / -0.0%
vortex:parquet-zstd size/Bimbo	1.20109789 / 1.20109789 / -0.0%
vortex:parquet-zstd size/CMSprovider	1.10163114 / 1.10163114 / +0.0%
vortex:parquet-zstd size/Euro2016	1.28204865 / 1.2835317 / -0.1%
vortex:parquet-zstd size/Food	1.16476769 / 1.16476769 / -0.0%
vortex:parquet-zstd size/HashTags	1.33223855 / 1.33223855 / -0.0%
vortex:parquet-zstd size/TPC-H l_comment canonical	1.0322273 / 1.0322273 / -0.0%
vortex:parquet-zstd size/TPC-H l_comment chunked	1.0322273 / 1.0322273 / -0.0%
vortex:parquet-zstd size/taxi	0.931110481 / 0.931110481 / -0.0%
vortex:parquet-zstd size/wide table cols=100 chunks=1 rows=1000	1.00036465 / 1.00036465 / -0.0%
vortex:parquet-zstd size/wide table cols=100 chunks=50 rows=1000	1.00036465 / 1.00036465 / -0.0%
vortex:parquet-zstd size/wide table cols=1000 chunks=1 rows=1000	0.998492064 / 0.998492064 / -0.0%
vortex:parquet-zstd size/wide table cols=1000 chunks=50 rows=1000	0.998492064 / 0.998492064 / -0.0%
vortex:parquet-zstd size/wide table cols=10000 chunks=1 rows=1000	0.998690905 / 0.998690905 / -0.0%
vortex:parquet-zstd size/wide table cols=10000 chunks=50 rows=1000	0.998690905 / 0.998690905 / -0.0%

vortex / parquet / ns (0.983x ➖, 1↑ 0↓)

name	ns (PR / base / %diff)
parquet_rs-zstd compress time/Arade	2251535967 / 2271645057 / -0.9%
parquet_rs-zstd compress time/Bimbo	11820512887 / 11935092885 / -1.0%
parquet_rs-zstd compress time/CMSprovider	6388711999 / 6484233290 / -1.5%
parquet_rs-zstd compress time/Euro2016	1082697897 / 1087838363 / -0.5%
parquet_rs-zstd compress time/Food	738125518 / 743914419 / -0.8%
parquet_rs-zstd compress time/HashTags	1831443920 / 1860705359 / -1.6%
parquet_rs-zstd compress time/TPC-H l_comment canonical	2632907651 / 2653500471 / -0.8%
parquet_rs-zstd compress time/TPC-H l_comment chunked	2643761510 / 2678531699 / -1.3%
parquet_rs-zstd compress time/taxi	1092217136 / 1100747918 / -0.8%
parquet_rs-zstd compress time/wide table cols=100 chunks=1 rows=1000	3977643 / 3956836 / +0.5%
parquet_rs-zstd compress time/wide table cols=100 chunks=50 rows=1000	3966117 / 3944090 / +0.6%
parquet_rs-zstd compress time/wide table cols=1000 chunks=1 rows=1000	43821730 / 44506087 / -1.5%
parquet_rs-zstd compress time/wide table cols=1000 chunks=50 rows=1000	44307508 / 45624874 / -2.9%
parquet_rs-zstd compress time/wide table cols=10000 chunks=1 rows=1000	460786964 / 455454638 / +1.2%
parquet_rs-zstd compress time/wide table cols=10000 chunks=50 rows=1000	459625757 / 472273914 / -2.7%
parquet_rs-zstd decompress time/Arade	556338905 / 563078490 / -1.2%
parquet_rs-zstd decompress time/Bimbo	1594878933 / 1593585246 / +0.1%
parquet_rs-zstd decompress time/CMSprovider	1358959017 / 1378650796 / -1.4%
parquet_rs-zstd decompress time/Euro2016	331370432 / 332254133 / -0.3%
parquet_rs-zstd decompress time/Food	169365013 / 171017554 / -1.0%
parquet_rs-zstd decompress time/HashTags	514346592 / 514963210 / -0.1%
parquet_rs-zstd decompress time/TPC-H l_comment canonical	493414569 / 494701715 / -0.3%
parquet_rs-zstd decompress time/TPC-H l_comment chunked	493700498 / 495469483 / -0.4%
parquet_rs-zstd decompress time/taxi	217391981 / 218010686 / -0.3%
parquet_rs-zstd decompress time/wide table cols=100 chunks=1 rows=1000	2053159 / 2046576 / +0.3%
parquet_rs-zstd decompress time/wide table cols=100 chunks=50 rows=1000	2018903 / 2038271 / -1.0%
parquet_rs-zstd decompress time/wide table cols=1000 chunks=1 rows=1000	22692688 / 23628675 / -4.0%
parquet_rs-zstd decompress time/wide table cols=1000 chunks=50 rows=1000	23023814 / 24630096 / -6.5%
parquet_rs-zstd decompress time/wide table cols=10000 chunks=1 rows=1000	243966974 / 243492424 / +0.2%
parquet_rs-zstd decompress time/wide table cols=10000 chunks=50 rows=1000	244216729 / 300313803 / -18.7% 🟢

vortex / parquet / bytes (1.000x ➖, 0↑ 0↓)

name	bytes (PR / base / %diff)
parquet size/Arade	258014282 / 258014282 / +0.0%
parquet size/Bimbo	384517292 / 384517292 / +0.0%
parquet size/CMSprovider	376887911 / 376887911 / +0.0%
parquet size/Euro2016	122979049 / 122979049 / +0.0%
parquet size/Food	35699500 / 35699500 / +0.0%
parquet size/HashTags	133497590 / 133497590 / +0.0%
parquet size/TPC-H l_comment canonical	158358238 / 158358238 / +0.0%
parquet size/TPC-H l_comment chunked	158358238 / 158358238 / +0.0%
parquet size/taxi	55283635 / 55283635 / +0.0%
parquet size/wide table cols=100 chunks=1 rows=1000	932404 / 932404 / +0.0%
parquet size/wide table cols=100 chunks=50 rows=1000	932404 / 932404 / +0.0%
parquet size/wide table cols=1000 chunks=1 rows=1000	9324004 / 9324004 / +0.0%
parquet size/wide table cols=1000 chunks=50 rows=1000	9324004 / 9324004 / +0.0%
parquet size/wide table cols=10000 chunks=1 rows=1000	93240004 / 93240004 / +0.0%
parquet size/wide table cols=10000 chunks=50 rows=1000	93240004 / 93240004 / +0.0%

vortex / arrow-ipc / ns (0.937x ➖, 6↑ 0↓)

name	ns (PR / base / %diff)
arrow-ipc compress time/Arade	97878104 / 101173258 / -3.3%
arrow-ipc compress time/Bimbo	612279336 / 678012863 / -9.7%
arrow-ipc compress time/CMSprovider	378823072 / 448093508 / -15.5% 🟢
arrow-ipc compress time/Euro2016	38209689 / 38765467 / -1.4%
arrow-ipc compress time/Food	33153567 / 34238839 / -3.2%
arrow-ipc compress time/HashTags	78366373 / 79325229 / -1.2%
arrow-ipc compress time/TPC-H l_comment canonical	493365565 / 504488778 / -2.2%
arrow-ipc compress time/TPC-H l_comment chunked	499736003 / 519022320 / -3.7%
arrow-ipc compress time/taxi	73638319 / 74877756 / -1.7%
arrow-ipc compress time/wide table cols=100 chunks=1 rows=1000	206621 / 212156 / -2.6%
arrow-ipc compress time/wide table cols=100 chunks=50 rows=1000	203271 / 212390 / -4.3%
arrow-ipc compress time/wide table cols=1000 chunks=1 rows=1000	2230821 / 2292466 / -2.7%
arrow-ipc compress time/wide table cols=1000 chunks=50 rows=1000	2248085 / 2282238 / -1.5%
arrow-ipc compress time/wide table cols=10000 chunks=1 rows=1000	25347920 / 26199889 / -3.3%
arrow-ipc compress time/wide table cols=10000 chunks=50 rows=1000	25458769 / 26152846 / -2.7%
arrow-ipc decompress time/Arade	140349452 / 181391123 / -22.6% 🟢
arrow-ipc decompress time/Bimbo	406187945 / 417601648 / -2.7%
arrow-ipc decompress time/CMSprovider	471545479 / 585695657 / -19.5% 🟢
arrow-ipc decompress time/Euro2016	63908880 / 74730176 / -14.5% 🟢
arrow-ipc decompress time/Food	48743692 / 58305511 / -16.4% 🟢
arrow-ipc decompress time/HashTags	120537398 / 143260370 / -15.9% 🟢
arrow-ipc decompress time/TPC-H l_comment canonical	542886526 / 544858322 / -0.4%
arrow-ipc decompress time/TPC-H l_comment chunked	542717273 / 543071880 / -0.1%
arrow-ipc decompress time/taxi	45206170 / 48595325 / -7.0%
arrow-ipc decompress time/wide table cols=100 chunks=1 rows=1000	317220 / 346827 / -8.5%
arrow-ipc decompress time/wide table cols=100 chunks=50 rows=1000	317630 / 334985 / -5.2%
arrow-ipc decompress time/wide table cols=1000 chunks=1 rows=1000	3439896 / 3564255 / -3.5%
arrow-ipc decompress time/wide table cols=1000 chunks=50 rows=1000	3392659 / 3518494 / -3.6%
arrow-ipc decompress time/wide table cols=10000 chunks=1 rows=1000	34807115 / 35499760 / -2.0%
arrow-ipc decompress time/wide table cols=10000 chunks=50 rows=1000	34608358 / 35874774 / -3.5%

vortex / arrow-ipc / bytes (1.000x ➖, 0↑ 0↓)

name	bytes (PR / base / %diff)
arrow-ipc size/Arade	691765162 / 691765162 / +0.0%
arrow-ipc size/Bimbo	3279590114 / 3279590114 / +0.0%
arrow-ipc size/CMSprovider	2422259682 / 2422259682 / +0.0%
arrow-ipc size/Euro2016	360582666 / 360582666 / +0.0%
arrow-ipc size/Food	255782338 / 255782338 / +0.0%
arrow-ipc size/HashTags	704785810 / 704785810 / +0.0%
arrow-ipc size/TPC-H l_comment canonical	4852929378 / 4852929378 / +0.0%
arrow-ipc size/TPC-H l_comment chunked	4852929378 / 4852929378 / +0.0%
arrow-ipc size/taxi	482329690 / 482329690 / +0.0%
arrow-ipc size/wide table cols=100 chunks=1 rows=1000	1257290 / 1257290 / +0.0%
arrow-ipc size/wide table cols=100 chunks=50 rows=1000	1257290 / 1257290 / +0.0%
arrow-ipc size/wide table cols=1000 chunks=1 rows=1000	12568506 / 12568506 / +0.0%
arrow-ipc size/wide table cols=1000 chunks=50 rows=1000	12568506 / 12568506 / +0.0%
arrow-ipc size/wide table cols=10000 chunks=1 rows=1000	125752506 / 125752506 / +0.0%
arrow-ipc size/wide table cols=10000 chunks=50 rows=1000	125752506 / 125752506 / +0.0%

Signed-off-by: Robert Kruszewski <github@robertk.io>

Reusing one Vortex array across iterations let every run after the first find its statistics already cached, so the timed region shrank to just the encoding. Reset the input before each iteration so the measurement matches a fresh conversion. Signed-off-by: Robert Kruszewski <github@robertk.io> Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019CX6MXw5FFYnqQNdV7K4ci

robert3005 added changelog/chore A trivial change action/bench-compress Run only the compression benchmark on this PR labels Sep 3, 2026

github-actions Bot removed the action/bench-compress Run only the compression benchmark on this PR label Sep 3, 2026

robert3005 commented Sep 3, 2026

View reviewed changes

Comment thread vortex-bench/src/compress/mod.rs

robert3005 added the action/bench-compress Run only the compression benchmark on this PR label Sep 4, 2026

github-actions Bot removed the action/bench-compress Run only the compression benchmark on this PR label Sep 4, 2026

robert3005 added 2 commits September 4, 2026 11:15

Reuse compression/decompression results in compression benchmarks

2816994

Signed-off-by: Robert Kruszewski <github@robertk.io>

fixes

1fb4aad

Signed-off-by: Robert Kruszewski <github@robertk.io>

robert3005 force-pushed the rk/compressionbench branch from c7361f2 to 1fb4aad Compare September 4, 2026 10:15

robert3005 added the action/bench-compress Run only the compression benchmark on this PR label Sep 4, 2026

github-actions Bot removed the action/bench-compress Run only the compression benchmark on this PR label Sep 4, 2026

robert3005 added the action/bench-compress Run only the compression benchmark on this PR label Sep 4, 2026

github-actions Bot removed the action/bench-compress Run only the compression benchmark on this PR label Sep 4, 2026

Navigation Menu

Uh oh!

Reuse compression/decompression results in compression benchmarks - #9744

Reuse compression/decompression results in compression benchmarks#9744
robert3005 wants to merge 3 commits into
developfrom
rk/compressionbench

robert3005 commented Sep 3, 2026

Uh oh!

codspeed-hq Bot commented Sep 3, 2026 •

edited

Loading

Uh oh!

github-actions Bot commented Sep 3, 2026 •

edited

Loading

Uh oh!

github-actions Bot commented Sep 3, 2026 •

edited

Loading

Uh oh!

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

1 participant

Uh oh!

Conversation

robert3005 commented Sep 3, 2026

Uh oh!

codspeed-hq Bot commented Sep 3, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Merging this PR will improve performance by 25.56%

Performance Changes

Footnotes

Uh oh!

github-actions Bot commented Sep 3, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Polar Signals Profiling Results

Latest Run

Uh oh!

github-actions Bot commented Sep 3, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Benchmarks: Compression 📖

Uh oh!

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

1 participant

codspeed-hq Bot commented Sep 3, 2026 •

edited

Loading

github-actions Bot commented Sep 3, 2026 •

edited

Loading

github-actions Bot commented Sep 3, 2026 •

edited

Loading