chore(deps): bump unrun from 0.2.22 to 0.2.24 in the patch group

[dependabot]

Bumps the patch group with 1 update: unrun.

Updates unrun from 0.2.22 to 0.2.24

Release notes

Sourced from unrun's releases.

v0.2.24

   🐞 Bug Fixes

• Per-module source context shims  -  by @​Gugustinette (67143)

    View changes on GitHub

v0.2.23

   🚀 Features

• Update rolldown  -  by @​Gugustinette (629aa)

    View changes on GitHub

Commits

• 759e4ea chore: release v0.2.24
• cb59d0c chore: windows windows windows...
• 98ce6bf chore: fix windows
• 15137c7 chore: fix windows support
• 671435a fix: per-module source context shims
• 2a88ca5 chore: release v0.2.23
• 629aab6 feat: update rolldown
• cc9b0be chore: update deps
• See full diff in compare view

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[socket-security]

Warning

Review the following alerts detected in dependencies.

According to your organization's Security Policy, it is recommended to resolve "Warn" alerts. Learn more about Socket for GitHub.

Action	Severity	Alert  (click "▶" to expand/collapse)
Warn		Obfuscated code: npm unrun is 98.0% likely obfuscated Confidence: 0.98 Location: Package overview From: pnpm-lock.yaml → npm/[email protected] → npm/[email protected] ℹ Read more on: This package | This alert | What is obfuscated code? Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at [email protected]. Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code. Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore npm/[email protected]. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

View full report

[github-actions]

📊 Benchmark Results

get-sync.bench.ts

getSync() > random keys - small key size (100 records)

Implementation	Rank	Operations/sec	Mean (ms)	Min (ms)	Max (ms)	RME (%)	Samples
🥇 lmdb	1	20.97K ops/sec	47.68	41.64	595.439	1.07	10,487
🥈 rocksdb	2	4.28K ops/sec	233.489	199.665	24,022.981	9.45	2,142

getSync() > sequential keys - small key size (100 records)

Implementation	Rank	Operations/sec	Mean (ms)	Min (ms)	Max (ms)	RME (%)	Samples
🥇 lmdb	1	24.36K ops/sec	41.05	35.62	7,839.117	3.19	12,181
🥈 rocksdb	2	4.66K ops/sec	214.383	205.139	674.06	0.237	2,333

ranges.bench.ts

getRange() > small range (100 records, 50 range)

Implementation	Rank	Operations/sec	Mean (ms)	Min (ms)	Max (ms)	RME (%)	Samples
🥇 lmdb	1	23.53K ops/sec	42.50	37.32	856.082	0.996	11,766
🥈 rocksdb	2	3.58K ops/sec	279.391	251.425	787.699	1.25	1,791

realistic-load.bench.ts

Realistic write load with workers > write variable records with transaction log

Implementation	Rank	Operations/sec	Mean (ms)	Min (ms)	Max (ms)	RME (%)	Samples
🥇 rocksdb	1	190.47 ops/sec	5,250.213	69.20	140,716.4	44.60	384
🥈 lmdb	2	25.87 ops/sec	38,656.822	327.396	1,223,878.243	137.215	64.00

transaction-log.bench.ts

Transaction log > read 100 iterators while write log with 100 byte records

Implementation	Rank	Operations/sec	Mean (ms)	Min (ms)	Max (ms)	RME (%)	Samples
🥇 rocksdb	1	28.83K ops/sec	34.68	17.06	528.917	0.792	14,416
🥈 lmdb	2	407.24 ops/sec	2,455.557	143.934	8,176.504	5.65	204

Transaction log > read one entry from random position from log with 1000 100 byte records

Implementation	Rank	Operations/sec	Mean (ms)	Min (ms)	Max (ms)	RME (%)	Samples
🥇 rocksdb	1	559.82K ops/sec	1.79	1.56	338.116	0.356	279,911
🥈 lmdb	2	291.22K ops/sec	3.43	1.77	8,011.315	5.14	145,611

worker-put-sync.bench.ts

putSync() > random keys - small key size (100 records, 10 workers)

Implementation	Rank	Operations/sec	Mean (ms)	Min (ms)	Max (ms)	RME (%)	Samples
🥇 rocksdb	1	858.90 ops/sec	1,164.283	1,010.921	1,887.546	0.322	1,718
🥈 lmdb	2	0.94 ops/sec	1,061,686.703	880,691.904	1,118,312.11	4.67	10.00

worker-transaction-log.bench.ts

Transaction log with workers > write log with 100 byte records

Implementation	Rank	Operations/sec	Mean (ms)	Min (ms)	Max (ms)	RME (%)	Samples
🥇 rocksdb	1	18.16K ops/sec	55.07	30.58	5,957.208	0.835	36,315
🥈 lmdb	2	805.60 ops/sec	1,241.31	293.523	12,548.201	5.23	1,613

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Results from commit cb23387