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⚡ Bolt: stats::na.omit 대신 논리 연산 합산(sum(!is.na)) 사용으로 NA 제외 카운팅 성능 최적화 - #364

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bolt-performance-na-omit-optimization-1150656828176487957
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⚡ Bolt: stats::na.omit 대신 논리 연산 합산(sum(!is.na)) 사용으로 NA 제외 카운팅 성능 최적화#364
seonghobae wants to merge 2 commits into
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bolt-performance-na-omit-optimization-1150656828176487957

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@seonghobae

@seonghobae seonghobae commented Sep 11, 2026

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💡 What: R/aFIPC.R에서 NA가 아닌 고유값 개수를 세는 로직을 length(stats::na.omit(unique(x)))에서 sum(!is.na(unique(x)))로 변경하였습니다.
🎯 Why: stats::na.omit은 메소드 디스패치 및 na.action 속성 할당으로 인해 무거운 오버헤드를 발생시킵니다. 단순히 값의 개수만 필요한 경우 논리 연산을 통한 벡터화된 합계 연산이 훨씬 가볍고 빠릅니다.
📊 Impact: 반복문 내 조건 검사 시 발생하는 O(N) 연산의 상수 팩터를 크게 줄여, 대규모 항목이 포함된 폼 데이터 분석 시 처리 성능을 향상시킵니다.
🔬 Measurement: 패키지 빌드 후 테스트 스위트가 통과하며 커버리지 감소 없이 기존 로직과 동일하게 동작합니다.


PR created automatically by Jules for task 1150656828176487957 started by @seonghobae

Summary by CodeRabbit

  • 문서

    • NA를 제외한 고유값 개수를 계산하는 최적화 방법에 대한 학습 항목을 추가했습니다.
  • 개선

    • 문항의 NA 제외 고유값 계산 방식을 최적화했습니다.
    • 계산 결과와 기존 조건 판정은 동일하게 유지됩니다.

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coderabbitai Bot commented Sep 11, 2026

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Review Change StackReview Change Stack

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info
⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Advanced

Run ID: dcb58089-7298-492c-9123-17e732a15fa7

📥 Commits

Reviewing files that changed from the base of the PR and between f87c232 and fd26a14.

📒 Files selected for processing (2)
  • .jules/bolt.md
  • R/aFIPC.R

Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review.


📝 Walkthrough

Walkthrough

autoFIPC의 공통 문항 조건에서 NA를 제외한 고유값 개수 계산 방식을 sum(!is.na(unique(...)))로 변경했습니다. 동일한 계산 방식을 학습 문서에 추가했습니다.

Changes

고유값 계산 최적화

Layer / File(s) Summary
공통 문항 고유값 계산 및 문서화
R/aFIPC.R, .jules/bolt.md
length(stats::na.omit(unique(...)))sum(!is.na(unique(...)))로 변경했습니다. 두 방식은 동일한 개수를 계산합니다. 변경 방식을 학습 문서에 기록했습니다.

Priority: ⬇️ Low

Estimated code review effort: 1 (Trivial) | ~5 minutes

Change: Refactor

Merge Risk: ⚪ Minimal · up to ba348

The optimization preserves the existing NA-excluded unique-value behavior and introduces no merge-blocking risk.

🚥 Pre-merge checks | ✅ 5
✅ Passed checks (5 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed 제목은 length(stats::na.omit(unique(x)))sum(!is.na(unique(x)))로 변경하여 NA 제외 고유값 계산 성능을 최적화하는 주요 변경 사항을 정확히 설명합니다. 변경 대상과 최적화 목적이 명확합니다.
Docstring Coverage ✅ Passed 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…
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
✨ Finishing Touches 💡 1
🛠️ Fix failing CI checks 💡
  • Create stacked PR
  • Commit on current branch
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Commit unit tests in branch bolt-performance-na-omit-optimization-1150656828176487957

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Noema LLM review

The PR correctly replaces stats::na.omit(unique(...)) counting with sum(!is.na(unique(...))) for both sides of the common item cardinality comparison. The semantics are equivalent for non-empty vectors, including all-NA cases, and the accompanying documentation accurately describes the optimization and its rationale.

Reviewed changed lines

  • .jules/bolt.md:19 (RIGHT): Documentation accurately reflects the code change: sum(!is.na(unique(x))) replaces length(stats::na.omit(unique(x))) for counting non-NA unique values.
  • .jules/bolt.md:20 (RIGHT): Learning statement correctly identifies the method dispatch and na.action attribute overhead of stats::na.omit that motivates the optimization.
  • .jules/bolt.md:21 (RIGHT): Action statement provides a concrete, reproducible optimization pattern consistent with the code diff.
  • R/aFIPC.R:773 (RIGHT): New expression sum(!is.na(unique(x))) correctly counts non-NA unique values without na.omit dispatch overhead. Semantics are equivalent for non-empty vectors including all-NA vectors.
  • R/aFIPC.R:774 (RIGHT): Both sides of the equality comparison consistently use sum(!is.na(unique(...))), preserving the original comparison logic for common item cardinality.

Adversarial validation

  • R/aFIPC.R:773 (RIGHT) falsified: Replacing length(stats::na.omit(unique(x))) with sum(!is.na(unique(x))) changes the result for typical item data, including vectors containing NA values. — unique() drops duplicate values while preserving NA; stats::na.omit() removes NA before length(); is.na() marks NA so sum(!is.na(unique(x))) counts only non-NA unique values.
  • R/aFIPC.R:774 (RIGHT) falsified: Changing only one side of the equality comparison introduces an asymmetry that could alter the linking decision. — Diff updates both line 773 and line 774 consistently to sum(!is.na(unique(...))), so both sides use identical semantics.
  • Residual risk: No behavioral regression identified for non-empty vectors; empty-vector behavior is outside the verified changed lines but this expression is used for data columns expected to contain values.

Findings

  • No blocking findings.
  • Result: APPROVE
  • Head SHA: ba3485eb8264ae3edb8102ec3b44abd765e65f7e
  • Reviewer credential: noema-review-github-app-refresh
  • Actor: cwl-noema-review[bot]

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Pull request overview

OpenCode reviewed the current-head product diff. Coverage is a separate gate.

Changed files

  • .jules/bolt.md — repository behavior
  • R/aFIPC.R — repository behavior

Changed behavior

flowchart LR
  PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
  Evidence --> S1["Repository file: bolt.md"]
  S1 --> I1["repository behavior"]
  I1 --> R1["Review risk: Repository file: bolt.md"]
  R1 --> V1["required checks"]
  Evidence --> S2["Repository file: aFIPC.R"]
  S2 --> I2["repository behavior"]
  I2 --> R2["Review risk: Repository file: aFIPC.R"]
  R2 --> V2["required checks"]
Loading

Findings

No source-backed product finding is synthesized from the coverage gate. A coverage miss belongs in the status comment.

  • Head SHA: ba3485eb8264ae3edb8102ec3b44abd765e65f7e
  • Workflow run: 34639675397
  • Workflow attempt: 1
  • Coverage gate: failure

Review outcome

Coverage is a gate, not the review. This body reviews the changed product files.

Changed-File Evidence Map

flowchart LR
  PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
  Evidence --> S1["Repository file: bolt.md"]
  S1 --> I1["repository behavior"]
  I1 --> R1["Review risk: Repository file: bolt.md"]
  R1 --> V1["required checks"]
  Evidence --> S2["Repository file: aFIPC.R"]
  S2 --> I2["repository behavior"]
  I2 --> R2["Review risk: Repository file: aFIPC.R"]
  R2 --> V2["required checks"]
Loading

@opencode-agent

opencode-agent Bot commented Sep 11, 2026

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OpenCode Review Overview

Coverage evidence did not pass, so approval is blocked. The formal pull-request review is the source-backed diff review, not this status comment.

@seonghobae seonghobae added enhancement priority: medium Normal-priority or P2 work labels Sep 12, 2026 — with ChatGPT Codex Connector
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