⚡ Bolt: 핫 패스에서 dict.fromkeys() 제너레이터 오버헤드 최적화 - #1084
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`extract_public_references`와 `_merge_references`에서 `dict.fromkeys(generator)`를 명시적인 로컬 딕셔너리 할당 루프로 교체하여 제너레이터 프레임 할당 오버헤드를 방지하고 중복 제거 성능을 향상시켰습니다.
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Organization UI Review profile: CHILL Plan: Team Run ID: 📒 Files selected for processing (2)
Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthrough참조 중복 제거를 제너레이터 기반 Changes참조 중복 제거 최적화
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to This localized optimization changes only how duplicate references are collected while preserving the resulting tuple behavior; no actionable merge-blocking risk remains after normal checks and review. Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 66.67% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 3 functions across 1 files. (1 skipped: 1 unsupported.)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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| seen = {} | ||
| for match in REFERENCE_RE.finditer(message or ""): | ||
| seen[" ".join(match.group(1).split())] = None | ||
| return tuple(seen) |
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📝 Info: First-seen ordering remains stable
Reassigning duplicate dictionary keys does not move them on supported Python versions. Both loops preserve the prior ordering, normalization, and falsy-reference filtering.
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`extract_public_references`와 `_merge_references`에서 `dict.fromkeys(generator)`를 명시적인 로컬 딕셔너리 할당 루프로 교체하여 제너레이터 프레임 할당 오버헤드를 방지하고 중복 제거 성능을 향상시켰습니다. CI 환경에서 noema-review 봇이 주석을 추가하는 것에 실패하는 것을 방지하기 위해 코드 내 주석 추가는 제거했습니다.
`extract_public_references`와 `_merge_references`에서 `dict.fromkeys(generator)`를 명시적인 로컬 딕셔너리 할당 루프로 교체하여 제너레이터 프레임 할당 오버헤드를 방지하고 중복 제거 성능을 향상시켰습니다.
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Scope
Replace
dict.fromkeys(generator)with explicit insertion-ordered dictionary loops inextract_public_referencesand_merge_referenceswhile preserving first-seen ordering, normalization, and falsy-reference filtering.Review repair
Fresh review found that the branch overstated its evidence. The replaced implementation was already O(N) hash-based deduplication and created no O(N²) list. The source comments also asserted an unsupported
~50%speedup.b08be67add8edeb394e28608e2c4790ddb75b86aremoves the unsupported percentage and asymptotic comments from production code without changing behavior.5b5c36069b0c06154e07cb9ae0ae360df9fa988dmakes.jules/bolt.mdcode-current: both forms remain O(N), any gain is a workload/interpreter-dependent constant factor, and a quantitative product claim requires a reproducible benchmark on the exact code and representative AppGuardrail workloads.The branch is therefore a performance candidate, not evidence of a 50% product speedup. No wall-clock improvement is claimed for merge or release until a reproducible benchmark artifact exists.
Current exact state
develop@e71d37e7c58118e6764c96ab7c4492fe33eed6f85b5c36069b0c06154e07cb9ae0ae360df9fa988dCodeQL PRrun33709619218terminatedstartup_failurebefore any job materialized (jobs=[])Predecessor checks and the original self-reported benchmark do not transfer to this head. Do not merge until the unchanged exact head has terminal required tests/security/coverage evidence, current review reconciliation, and reproducible performance evidence sufficient to justify retaining this optimization over the simpler baseline idiom. No self-approval, force update, bypass, or gate weakening.