perf(compressor): Improve string dictionary selection by lwwmanning · Pull Request #9762 · vortex-data/vortex

lwwmanning · 2026-09-03T21:19:45Z

String Dictionary selection now probes a small distributed sample before it builds an exact candidate. The old estimator missed profitable dictionaries when columns contained thousands of repeated strings. Samples above 75% distinct values reject Dictionary. An incomplete probe uses the existing estimator. An admitted candidate has explicit limits for values, value bytes, code bytes, and input bytes. The compressor compares the candidate's actual size and reuses the candidate if it wins.

The probe reads at most 8,192 rows and 1 MiB of values. String samples now compact their payload before size estimates, so unrelated retained bytes do not distort the score.

On seven local runs of the standard compression benchmark, Euro2016 stayed effectively neutral: write +0.01%, full materialization +0.46%, and size -0.14%. HashTags wrote 4.4% faster and used 2.1% fewer bytes, but full materialization was 10.9% slower. The benchmark expands Dictionary into flat strings. Engines that preserve Dictionary can retain the encoded form.

🤖 Generated with Codex

Signed-off-by: Will Manning <[email protected]>

codspeed-hq · 2026-09-03T21:29:03Z

Merging this PR will regress 3 benchmarks

⚠️

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
❌ 3 regressed benchmarks
✅ 2192 untouched benchmarks
⏩ 206 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	`BASE`	`HEAD`	Efficiency
❌	WallTime	`mul_u64_nonnull_neon`	15.3 µs	21.1 µs	-27.31%
❌	WallTime	`multiply_shapes_neon[(16384, PerRowPerRow)]`	17.2 µs	20.2 µs	-14.58%
❌	WallTime	`mul_i64_nonnull_neon`	17.2 µs	20.1 µs	-14.28%
⚡	WallTime	`arrow_checked_add_u32_neon[16384]`	20.5 µs	12.7 µs	+60.66%
⚡	WallTime	`mul_u32_nonnull_avx2`	6.9 µs	5.9 µs	+16.83%
⚡	WallTime	`mul_u32_nonnull_avx512`	6.3 µs	5.6 µs	+11.8%
⚡	Simulation	`allocate_drop_bytes[0]`	520.2 ns	466 ns	+11.62%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

_{Comparing wm/string-dictionary-selection (6ed06bd) with develop (265b705)}

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 · 2026-09-03T21:44:04Z

Polar Signals Profiling Results

Latest Run

Status	Commit	Job	Attempt	Link
🟢 Done	`2d35497`	compress-bench	1	Explore Profiling Data

Powered by Polar Signals Cloud

github-actions · 2026-09-03T22:36:29Z

Benchmarks: Compression 📖

Commits: PR 2d35497e vs base 78f4d38c

vortex / vortex-file-compressed / ns (1.016x ➖, 0↑ 2↓)

name	ns (PR / base / %diff)
compress time/Arade	1143608713 / 1215603812 / -5.9%
compress time/Bimbo	5003048286 / 5018243728 / -0.3%
compress time/CMSprovider	3913629876 / 3967096119 / -1.3%
compress time/Euro2016	693350612 / 509086549 / +36.2% 🔴
compress time/Food	430482231 / 433584645 / -0.7%
compress time/HashTags	909851785 / 907587690 / +0.2%
compress time/TPC-H l_comment canonical	1181212441 / 1188633662 / -0.6%
compress time/TPC-H l_comment chunked	1196472891 / 1173516349 / +2.0%
compress time/taxi	570596673 / 564884790 / +1.0%
compress time/wide table cols=100 chunks=1 rows=1000	8118458 / 8076756 / +0.5%
compress time/wide table cols=100 chunks=50 rows=1000	7955371 / 7930451 / +0.3%
compress time/wide table cols=1000 chunks=1 rows=1000	79139244 / 83741436 / -5.5%
compress time/wide table cols=1000 chunks=50 rows=1000	81904576 / 84174570 / -2.7%
compress time/wide table cols=10000 chunks=1 rows=1000	955742206 / 977690005 / -2.2%
compress time/wide table cols=10000 chunks=50 rows=1000	970515580 / 984025322 / -1.4%
decompress time/Arade	24794895 / 26821398 / -7.6%
decompress time/Bimbo	87385307 / 91391780 / -4.4%
decompress time/CMSprovider	75643015 / 79834024 / -5.2%
decompress time/Euro2016	30154262 / 15594588 / +93.4% 🔴
decompress time/Food	7188754 / 7263078 / -1.0%
decompress time/HashTags	112920738 / 107383616 / +5.2%
decompress time/TPC-H l_comment canonical	34679860 / 34750201 / -0.2%
decompress time/TPC-H l_comment chunked	34973027 / 35005949 / -0.1%
decompress time/taxi	14236487 / 14547466 / -2.1%
decompress time/wide table cols=100 chunks=1 rows=1000	2254470 / 2371697 / -4.9%
decompress time/wide table cols=100 chunks=50 rows=1000	2237859 / 2320215 / -3.5%
decompress time/wide table cols=1000 chunks=1 rows=1000	22581602 / 22794151 / -0.9%
decompress time/wide table cols=1000 chunks=50 rows=1000	22495049 / 22797743 / -1.3%
decompress time/wide table cols=10000 chunks=1 rows=1000	245298413 / 261231574 / -6.1%
decompress time/wide table cols=10000 chunks=50 rows=1000	252918839 / 249126611 / +1.5%

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	415192460 / 415192460 / +0.0%
vortex-file-compressed size/Euro2016	159857604 / 157458700 / +1.5%
vortex-file-compressed size/Food	41581832 / 41581624 / +0.0%
vortex-file-compressed size/HashTags	176094956 / 177840324 / -1.0%
vortex-file-compressed size/TPC-H l_comment canonical	163480008 / 163453384 / +0.0%
vortex-file-compressed size/TPC-H l_comment chunked	163480008 / 163453384 / +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 (1.008x ➖, 0↑ 2↓)

name	ratio (PR / base / %diff)
vortex:parquet-zstd ratio compress time/Arade	0.39232065 / 0.422323541 / -7.1%
vortex:parquet-zstd ratio compress time/Bimbo	0.3546728 / 0.359891495 / -1.5%
vortex:parquet-zstd ratio compress time/CMSprovider	0.508679584 / 0.519639452 / -2.1%
vortex:parquet-zstd ratio compress time/Euro2016	0.455272923 / 0.336424772 / +35.3% 🔴
vortex:parquet-zstd ratio compress time/Food	0.468021386 / 0.478484283 / -2.2%
vortex:parquet-zstd ratio compress time/HashTags	0.3740726 / 0.373748323 / +0.1%
vortex:parquet-zstd ratio compress time/TPC-H l_comment canonical	0.320175554 / 0.325255001 / -1.6%
vortex:parquet-zstd ratio compress time/TPC-H l_comment chunked	0.325554192 / 0.320162404 / +1.7%
vortex:parquet-zstd ratio compress time/taxi	0.418978123 / 0.415949938 / +0.7%
vortex:parquet-zstd ratio compress time/wide table cols=100 chunks=1 rows=1000	1.54868802 / 1.56758805 / -1.2%
vortex:parquet-zstd ratio compress time/wide table cols=100 chunks=50 rows=1000	1.56055505 / 1.54942098 / +0.7%
vortex:parquet-zstd ratio compress time/wide table cols=1000 chunks=1 rows=1000	1.22341148 / 1.29900243 / -5.8%
vortex:parquet-zstd ratio compress time/wide table cols=1000 chunks=50 rows=1000	1.26506052 / 1.33206454 / -5.0%
vortex:parquet-zstd ratio compress time/wide table cols=10000 chunks=1 rows=1000	1.27950012 / 1.32194529 / -3.2%
vortex:parquet-zstd ratio compress time/wide table cols=10000 chunks=50 rows=1000	1.2854234 / 1.33639435 / -3.8%
vortex:parquet-zstd ratio decompress time/Arade	0.0353060124 / 0.0379094802 / -6.9%
vortex:parquet-zstd ratio decompress time/Bimbo	0.0454663062 / 0.0477945758 / -4.9%
vortex:parquet-zstd ratio decompress time/CMSprovider	0.0396448827 / 0.0417641901 / -5.1%
vortex:parquet-zstd ratio decompress time/Euro2016	0.0720825979 / 0.0373875379 / +92.8% 🔴
vortex:parquet-zstd ratio decompress time/Food	0.0327030852 / 0.0328329079 / -0.4%
vortex:parquet-zstd ratio decompress time/HashTags	0.167791905 / 0.157557532 / +6.5%
vortex:parquet-zstd ratio decompress time/TPC-H l_comment canonical	0.0527165313 / 0.0525715192 / +0.3%
vortex:parquet-zstd ratio decompress time/TPC-H l_comment chunked	0.0530124971 / 0.0528529152 / +0.3%
vortex:parquet-zstd ratio decompress time/taxi	0.0509608715 / 0.0513671232 / -0.8%
vortex:parquet-zstd ratio decompress time/wide table cols=100 chunks=1 rows=1000	0.925075101 / 0.981653727 / -5.8%
vortex:parquet-zstd ratio decompress time/wide table cols=100 chunks=50 rows=1000	0.955360753 / 0.986521202 / -3.2%
vortex:parquet-zstd ratio decompress time/wide table cols=1000 chunks=1 rows=1000	0.806534034 / 0.802895187 / +0.5%
vortex:parquet-zstd ratio decompress time/wide table cols=1000 chunks=50 rows=1000	0.799812305 / 0.844769188 / -5.3%
vortex:parquet-zstd ratio decompress time/wide table cols=10000 chunks=1 rows=1000	0.819084867 / 0.867655515 / -5.6%
vortex:parquet-zstd ratio decompress time/wide table cols=10000 chunks=50 rows=1000	0.836630663 / 0.823209908 / +1.6%
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	1.1016338 / 1.1016338 / -0.0%
vortex:parquet-zstd size/Euro2016	1.29987673 / 1.28037012 / +1.5%
vortex:parquet-zstd size/Food	1.16477351 / 1.16476769 / +0.0%
vortex:parquet-zstd size/HashTags	1.31908715 / 1.33216131 / -1.0%
vortex:parquet-zstd size/TPC-H l_comment canonical	1.03234293 / 1.03217481 / +0.0%
vortex:parquet-zstd size/TPC-H l_comment chunked	1.03234293 / 1.03217481 / +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 (1.004x ➖, 0↑ 0↓)

name	ns (PR / base / %diff)
parquet_rs-zstd compress time/Arade	2914984753 / 2878370951 / +1.3%
parquet_rs-zstd compress time/Bimbo	14106095216 / 13943768617 / +1.2%
parquet_rs-zstd compress time/CMSprovider	7693703457 / 7634324338 / +0.8%
parquet_rs-zstd compress time/Euro2016	1522933996 / 1513225514 / +0.6%
parquet_rs-zstd compress time/Food	919791795 / 906162774 / +1.5%
parquet_rs-zstd compress time/HashTags	2432286633 / 2428339166 / +0.2%
parquet_rs-zstd compress time/TPC-H l_comment canonical	3689264926 / 3654466982 / +1.0%
parquet_rs-zstd compress time/TPC-H l_comment chunked	3675188097 / 3665378362 / +0.3%
parquet_rs-zstd compress time/taxi	1361877009 / 1358059559 / +0.3%
parquet_rs-zstd compress time/wide table cols=100 chunks=1 rows=1000	5242152 / 5152346 / +1.7%
parquet_rs-zstd compress time/wide table cols=100 chunks=50 rows=1000	5097783 / 5118332 / -0.4%
parquet_rs-zstd compress time/wide table cols=1000 chunks=1 rows=1000	64687348 / 64465958 / +0.3%
parquet_rs-zstd compress time/wide table cols=1000 chunks=50 rows=1000	64743603 / 63191060 / +2.5%
parquet_rs-zstd compress time/wide table cols=10000 chunks=1 rows=1000	746965309 / 739584315 / +1.0%
parquet_rs-zstd compress time/wide table cols=10000 chunks=50 rows=1000	755016271 / 736328558 / +2.5%
parquet_rs-zstd decompress time/Arade	702285342 / 707511627 / -0.7%
parquet_rs-zstd decompress time/Bimbo	1921979466 / 1912178912 / +0.5%
parquet_rs-zstd decompress time/CMSprovider	1908014601 / 1911542493 / -0.2%
parquet_rs-zstd decompress time/Euro2016	418329290 / 417106578 / +0.3%
parquet_rs-zstd decompress time/Food	219818832 / 221213364 / -0.6%
parquet_rs-zstd decompress time/HashTags	672980844 / 681551777 / -1.3%
parquet_rs-zstd decompress time/TPC-H l_comment canonical	657855499 / 661008119 / -0.5%
parquet_rs-zstd decompress time/TPC-H l_comment chunked	659712878 / 662327685 / -0.4%
parquet_rs-zstd decompress time/taxi	279361137 / 283205776 / -1.4%
parquet_rs-zstd decompress time/wide table cols=100 chunks=1 rows=1000	2437067 / 2416022 / +0.9%
parquet_rs-zstd decompress time/wide table cols=100 chunks=50 rows=1000	2342423 / 2351916 / -0.4%
parquet_rs-zstd decompress time/wide table cols=1000 chunks=1 rows=1000	27998325 / 28389946 / -1.4%
parquet_rs-zstd decompress time/wide table cols=1000 chunks=50 rows=1000	28125410 / 26986949 / +4.2%
parquet_rs-zstd decompress time/wide table cols=10000 chunks=1 rows=1000	299478629 / 301077524 / -0.5%
parquet_rs-zstd decompress time/wide table cols=10000 chunks=50 rows=1000	302306442 / 302628295 / -0.1%

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 (1.012x ➖, 1↑ 1↓)

name	ns (PR / base / %diff)
arrow-ipc compress time/Arade	283601688 / 283124715 / +0.2%
arrow-ipc compress time/Bimbo	1853753085 / 1805985194 / +2.6%
arrow-ipc compress time/CMSprovider	1428978670 / 1448092556 / -1.3%
arrow-ipc compress time/Euro2016	100312997 / 97345952 / +3.0%
arrow-ipc compress time/Food	74057542 / 71491525 / +3.6%
arrow-ipc compress time/HashTags	290528515 / 290755120 / -0.1%
arrow-ipc compress time/TPC-H l_comment canonical	2109177941 / 2069531998 / +1.9%
arrow-ipc compress time/TPC-H l_comment chunked	2152997765 / 2089599965 / +3.0%
arrow-ipc compress time/taxi	187119659 / 180601124 / +3.6%
arrow-ipc compress time/wide table cols=100 chunks=1 rows=1000	364620 / 411289 / -11.3% 🟢
arrow-ipc compress time/wide table cols=100 chunks=50 rows=1000	411609 / 417651 / -1.4%
arrow-ipc compress time/wide table cols=1000 chunks=1 rows=1000	4961917 / 5202057 / -4.6%
arrow-ipc compress time/wide table cols=1000 chunks=50 rows=1000	5069024 / 5173896 / -2.0%
arrow-ipc compress time/wide table cols=10000 chunks=1 rows=1000	57185916 / 56116668 / +1.9%
arrow-ipc compress time/wide table cols=10000 chunks=50 rows=1000	56061682 / 55294932 / +1.4%
arrow-ipc decompress time/Arade	184352202 / 190348060 / -3.1%
arrow-ipc decompress time/Bimbo	595654308 / 596907848 / -0.2%
arrow-ipc decompress time/CMSprovider	687804302 / 695064906 / -1.0%
arrow-ipc decompress time/Euro2016	96534467 / 96254705 / +0.3%
arrow-ipc decompress time/Food	64351693 / 65713114 / -2.1%
arrow-ipc decompress time/HashTags	205840308 / 209774262 / -1.9%
arrow-ipc decompress time/TPC-H l_comment canonical	1033190010 / 1032576724 / +0.1%
arrow-ipc decompress time/TPC-H l_comment chunked	1044718996 / 1037703467 / +0.7%
arrow-ipc decompress time/taxi	74021627 / 73788312 / +0.3%
arrow-ipc decompress time/wide table cols=100 chunks=1 rows=1000	432495 / 391398 / +10.5% 🔴
arrow-ipc decompress time/wide table cols=100 chunks=50 rows=1000	429830 / 400160 / +7.4%
arrow-ipc decompress time/wide table cols=1000 chunks=1 rows=1000	4357045 / 4141306 / +5.2%
arrow-ipc decompress time/wide table cols=1000 chunks=50 rows=1000	4407610 / 4087640 / +7.8%
arrow-ipc decompress time/wide table cols=10000 chunks=1 rows=1000	53664311 / 50399242 / +6.5%
arrow-ipc decompress time/wide table cols=10000 chunks=50 rows=1000	53133931 / 49595736 / +7.1%

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: Will Manning <[email protected]>

perf(compressor): Improve string dictionary selection

2d35497

Signed-off-by: Will Manning <[email protected]>

lwwmanning added changelog/performance A performance improvement 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

perf(compressor): Refine string dictionary admission

6ed06bd

Signed-off-by: Will Manning <[email protected]>

gatesn mentioned this pull request Sep 8, 2026

fix(buffer): reject ZSTs and address allocator review comments #9807

Merged

Navigation Menu

Uh oh!

perf(compressor): Improve string dictionary selection - #9762

perf(compressor): Improve string dictionary selection#9762
lwwmanning wants to merge 2 commits into
developfrom
wm/string-dictionary-selection

lwwmanning commented Sep 3, 2026 •

edited

Loading

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

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

1 participant

Uh oh!

Conversation

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

Uh oh!

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 regress 3 benchmarks

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

Benchmarks: Compression 📖

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

1 participant

lwwmanning commented Sep 3, 2026 •

edited

Loading

codspeed-hq Bot commented Sep 3, 2026 •

edited

Loading

github-actions Bot commented Sep 3, 2026 •

edited

Loading