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[jamiebase] WEEK 11 Solutions #2601
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,33 @@ | ||
| """ | ||
| # Approach | ||
| 1. 현재 범위 & 비교 범위 변수 | ||
| 2. 비교 범위의 start가 현재 범위의 end보다 같거나 작으면 merge 가능 | ||
| 3. 최종 merge 범위를 현재 범위로 재갱신 & output 배열에 추가하는 방식 | ||
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| # Complexity | ||
| - Time complexity: intervals의 길이를 N, 정렬 때문에 O(N log N) | ||
| - Space complexity: output 배열이 최악의 경우 O(N) | ||
| """ | ||
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| class Solution: | ||
| def merge(self, intervals: list[list[int]]) -> list[list[int]]: | ||
| if (n := len(intervals)) == 1: | ||
| return intervals | ||
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| intervals.sort(key=lambda x: x[0]) | ||
| output = [] | ||
| right = 1 | ||
| start, end = intervals[0] | ||
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| while right < n: | ||
| comp_start, comp_end = intervals[right] | ||
| if comp_start <= end: | ||
| end = max(comp_end, end) | ||
| else: | ||
| output.append([start, end]) | ||
| start, end = comp_start, comp_end | ||
| right += 1 | ||
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| output.append([start, end]) | ||
| return output |
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 🏷️ 알고리즘 패턴 분석
📊 시간/공간 복잡도 분석
피드백: 집합을 생성하는 데 O(n) 시간과 공간이 들며, 이후 순회로 빠르게 없는 숫자를 찾습니다. 개선 제안: 현재 구현이 적절해 보입니다.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,17 @@ | ||
| """ | ||
| # Approach | ||
| nums 집합을 만들어 없는 숫자를 찾습니다. | ||
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| # Complexity | ||
| - Time complexity: nums 의 길이를 n이라고 할 때, O(n) | ||
| - Space complexity: O(n) | ||
| """ | ||
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| class Solution: | ||
| def missingNumber(self, nums: list[int]) -> int: | ||
| nums_set = set(nums) | ||
| n = len(nums) | ||
| for i in range(0, n + 1): | ||
| if i not in nums_set: | ||
| return i |
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🏷️ 알고리즘 패턴 분석
📊 시간/공간 복잡도 분석
피드백: 배열 정렬 후 한 번의 순회로 병합 범위를 계산하므로 정렬이 가장 큰 시간 복잡도를 차지하며, 병합 결과를 저장하는 공간이 필요합니다.
개선 제안: 현재 구현이 적절해 보입니다.