⚡ Bolt: 벡터 최솟값 탐색 O(N)으로 최적화 - #291
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| if (any(!is.na(p_values))) { | ||
| p_values[is.na(p_values)] <- 1 | ||
| candidate <- names(sort(p_values, decreasing = FALSE))[1L] | ||
| candidate <- names(p_values)[which.min(p_values)] |
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📝 Info: which.min refactor preserves behavior
The swap from names(sort(p_values, decreasing = FALSE))[1L] to names(p_values)[which.min(p_values)] is equivalent. NAs are set to 1 first (surveyFA.R), names come from unique rownames (surveyFA.R), and both pick the first-occurring minimum on ties.
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💡 What:
surveyFA함수에서 벡터의 최솟값을 찾을 때 불필요한sort()함수 사용을 O(N) 선형 시간 복잡도를 가지는which.min()으로 변경했습니다.🎯 Why:
sort(x)[1]을 사용하면 O(N log N)의 정렬 오버헤드가 발생하지만 최솟값을 찾기 위해 전체 배열을 정렬할 필요는 없습니다.📊 Impact: 요소가 많아질 때 정렬 연산을 피하여 메모리 및 시간 효율성을 개선했습니다.
🔬 Measurement: 모든 관련 test suite를 돌려 기존 기능이 정상 동작함을 확인했습니다.
PR created automatically by Jules for task 13555628161088141039 started by @seonghobae