chore(deps): bump ruff from 0.15.12 to 0.15.13

[dependabot]

Bumps ruff from 0.15.12 to 0.15.13.

Release notes

Sourced from ruff's releases.

0.15.13

Release Notes

Released on 2026-05-14.

Preview features

• Add a rule to flag lazy imports that are eagerly evaluated (#25016)
• [pylint] Standardize diagnostic message (PLR0914, PLR0917) (#24996)

Bug fixes

• Fix F811 false positive for class methods (#24933)
• Fix setting selection for multi-folder workspace (#24819)
• [eradicate] Fix false positive for lines with leading whitespace (ERA001) (#25122)
• [flake8-pyi] Fix false positive for f-string debug specifier (PYI016) (#24098)

Rule changes

• Always include panic payload in panic diagnostic message (#24873)
• Restrict PYI034 for in-place operations to enclosing class (#24511)
• Improve error message for parameters that are declared global (#24902)
• Update known stdlib (#25103)

Performance

• [isort] Avoid constructing glob::Patterns for literal known modules (#25123)

CLI

• Add TOML examples to --config help text (#25013)
• Colorize ruff check 'All checks passed' (#25085)

Configuration

• Increase max allowed value of line-length setting (#24962)

Documentation

• Add D203 to rules that conflict with the formatter (#25044)
• Clarify COM819 and formatter interaction (#25045)
• Clarify that NotImplemented is a value, not an exception (F901) (#25054)
• Update number of lint rules supported (#24942)

Other changes

• Simplify the playground's markdown template (#24924)

Contributors

... (truncated)

Changelog

Sourced from ruff's changelog.

0.15.13

Released on 2026-05-14.

Preview features

• Add a rule to flag lazy imports that are eagerly evaluated (#25016)
• [pylint] Standardize diagnostic message (PLR0914, PLR0917) (#24996)

Bug fixes

• Fix F811 false positive for class methods (#24933)
• Fix setting selection for multi-folder workspace (#24819)
• [eradicate] Fix false positive for lines with leading whitespace (ERA001) (#25122)
• [flake8-pyi] Fix false positive for f-string debug specifier (PYI016) (#24098)

Rule changes

• Always include panic payload in panic diagnostic message (#24873)
• Restrict PYI034 for in-place operations to enclosing class (#24511)
• Improve error message for parameters that are declared global (#24902)
• Update known stdlib (#25103)

Performance

• [isort] Avoid constructing glob::Patterns for literal known modules (#25123)

CLI

• Add TOML examples to --config help text (#25013)
• Colorize ruff check 'All checks passed' (#25085)

Configuration

• Increase max allowed value of line-length setting (#24962)

Documentation

• Add D203 to rules that conflict with the formatter (#25044)
• Clarify COM819 and formatter interaction (#25045)
• Clarify that NotImplemented is a value, not an exception (F901) (#25054)
• Update number of lint rules supported (#24942)

Other changes

• Simplify the playground's markdown template (#24924)

Contributors

• @​MichaReiser

... (truncated)

Commits

• 2afb467 Bump 0.15.13 (#25157)
• 3008796 [ty] classify TypeVar semantic tokens as type parameters (#24891)
• 79470e3 [isort] Avoid constructing glob::Patterns for literal known modules (#25123)
• 2522549 Remove shellcheck from prek (#25154)
• 7db7170 [ty] Support TypedDict key completions in incomplete, anonymous contexts (#25...
• bb3dd53 [ty] Run full iteration analysis on narrowed typevars (#25143)
• 828cdb7 [ty] Isolate file-watching test environment (#25151)
• 89e1d86 [ty] Preserve TypedDict keys through dict unpacking (#24523)
• 86f3064 [ty] Avoid accessing args[0] for static_assert (#25149)
• ed819f9 [ty] Treat custom enum __new__ values as dynamic (#25136)
• Additional commits viewable in compare view

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[github-actions]

NeuralMind self-benchmark

Status: PASS — floor 4×, measured 5.9×.

Phase 1 — Reduction on committed fixture

• Average reduction: 5.9×
• Top-k retrieval hit rate: 71.7%
• Naive baseline: 47,360 tokens (all fixture files concatenated)
• NeuralMind total: 8,149 tokens across 10 queries
• Estimated monthly savings @ 100 queries/day on Claude 3.5 Sonnet: ~$35.30

#	Query	Shape	Naive	NeuralMind	Ratio	Hit
1	auth-flow	cross-file	4,736	815	5.8×	33.3%
2	api-endpoints	focused	4,736	809	5.9×	100.0%
3	billing-flow	cross-file	4,736	846	5.6×	33.3%
4	user-storage	cross-file	4,736	672	7.0×	50.0%
5	jwt-verify	focused	4,736	681	7.0×	100.0%
6	stripe-webhook	focused	4,736	838	5.7×	100.0%
7	create-user	cross-file	4,736	794	6.0×	50.0%
8	refund	focused	4,736	827	5.7×	100.0%
9	db-choice	identity	4,736	899	5.3×	100.0%
10	invoice-send	cross-file	4,736	968	4.9×	50.0%

Phase 2 — Learning uplift

• Memory events logged: 20
• Learned patterns: 20
• Reduction ratio after neuralmind learn: 5.9× (Δ +0.00× vs. cold)
• Top-k hit rate after learning: 71.7% (Δ +0.0 points vs. cold)

Note: uplift numbers on a 500-line fixture are intentionally modest — the point is to
verify the learning mechanism persists and applies. On real production repos the lift
is larger; this test only catches regressions in persistence.

Assumptions

• Baseline: every .py file in tests/fixtures/sample_project/ concatenated.
• Tokenizer: tiktoken GPT-4o encoding (per-model breakdown in multi_model.json if generated).
• Pricing: Claude 3.5 Sonnet input @ $3.0/MTok.
• Regression floor: 4× — well below NeuralMind's typical 40–70× on real repos.

Per-model token reduction

Model	Tokenizer	Naive	NeuralMind	Ratio	Source
GPT-4o / GPT-4o-mini	tiktoken o200k_base	4,739	927	5.1×	measured
GPT-4 / GPT-3.5-turbo	tiktoken cl100k_base	4,710	918	5.1×	measured
Claude 3.5 Sonnet	estimated: GPT-4o × 1.08 — install anthropic for an exact count	5,118	1,001	5.1×	estimated
Llama 3 (70B)	estimated: GPT-4o × 1.22 — Llama tokenizer requires model weights; estimate based on published vocab ratios	5,781	1,130	5.1×	estimated

Rows marked measured use the provider's real tokenizer. Rows marked
estimated apply a published vocab-size correction to the GPT-4o count —
honest approximations, not hardcoded claims.

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Automated by .github/workflows/ci-benchmark.yml — regenerate locally with python -m tests.benchmark.run.