⚡ Bolt: mirt 파라미터 추출 시 불필요한 O(N) 데이터 복사 제거 - #312
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💡 What: `colnames(newformXDataK[colnames(newFormModel@Data$data)])` 대신 `colnames(newFormModel@Data$data)`를 직접 사용하도록 최적화했습니다. 🎯 Why: 기존 코드는 단순히 컬럼 이름을 얻기 위해 데이터프레임을 다시 subsetting 하므로 불필요한 O(N) 메모리 할당과 복사가 발생합니다. 📊 Impact: 모델 데이터를 셋업하는 과정에서 발생하는 불필요한 메모리 할당 및 복사 오버헤드를 O(1) 수준으로 감소시킵니다. 🔬 Measurement: 단위 테스트를 통해 기능이 정상적으로 유지되는지 검증했습니다.
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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: Pro Plus Run ID: 📒 Files selected for processing (1)
Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthroughIPD 검사와 공통 문항 연결에서 열 이름을 입력 데이터 부분집합이 아닌 각 mirt 모델의 원본 데이터에서 가져오도록 변경했습니다. Changes열 이름 매핑
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to This localized optimization removes an unnecessary data copy while preserving the existing column-name behavior, so no actionable merge-blocking risk remains beyond normal checks and review. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
Full details: Docstring CoverageExplanation No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check. Docstring coverage is scoped to functions touched by this diff. Analyzed 0 functions across 0 files. (1 skipped: 1 unsupported.) ✨ Finishing Touches🧪 Generate unit tests (beta)
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| newFormColNames <- colnames(newFormModel@Data$data) | ||
| oldFormColNames <- colnames(oldFormModel@Data$data) |
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📝 Info: Name extraction preserves linking order
colnames still returns model order. Each working dataset comes from that model or its fitting input, so the removed subset added no transformation.
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seonghobae
added
enhancement
priority: medium
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💡 What:
colnames(newformXDataK[colnames(newFormModel@Data$data)])대신colnames(newFormModel@Data$data)를 직접 사용하도록 최적화했습니다.🎯 Why: 기존 코드는 단순히 컬럼 이름을 얻기 위해 데이터프레임을 다시 subsetting 하므로 불필요한 O(N) 메모리 할당과 복사가 발생합니다.
📊 Impact: 모델 데이터를 셋업하는 과정에서 발생하는 불필요한 메모리 할당 및 복사 오버헤드를 O(1) 수준으로 감소시킵니다.
🔬 Measurement: 단위 테스트(
testthat)를 통해 기존autoFIPC로직이 완벽하게 호환되며 동작함을 확인했습니다.PR created automatically by Jules for task 10097833165250231004 started by @seonghobae
Summary by CodeRabbit