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[hj4645] WEEK 01 solutions #1688
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0dab597
Solve: contains duplicate
hj4645 f310a52
add 개행문자
hj4645 1e37b25
Solve: two-sum
hj4645 2efa74a
chore: 개행문자 수정
hj4645 0f90967
Solve: top-k-frequent-elements
hj4645 36449d2
Solve : longest-consecutive-sequence, house-robber
hj4645 1ee09cc
resolve lint errors
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class Solution: | ||
# 리스트 안에 동일한 숫자가 2개 이상 존재하면 true를 반환해야 하는 문제 | ||
# Set으로 변환 시 중복이 제거되므로 List와 Set의 크기를 비교해 답을 구할 수 있음 | ||
def containsDuplicate(self, nums: List[int]) -> bool: | ||
return len(nums) != len(set(nums)) | ||
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# Time Complexity | ||
# - set(nums) → O(n) | ||
# - len(nums), len(set(nums)) → O(1) | ||
# - Total: O(n) (n = number of list elements) | ||
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class Solution { | ||
// 배열에서 인접한 항은 접근할 수 없을 때, 인접하지 않은 항을 더해 가장 큰 값을 구하는 문제 | ||
// 1. DP를 사용해 각 집마다 선택하거나 건너뛰는 경우를 누적 계산 | ||
// 2. 현재 집을 털 때, 이전 집을 털지 않은 경우만 더할 수 있게끔 계산 | ||
fun rob(nums: IntArray): Int { | ||
if (nums.isEmpty()) return 0 | ||
var prev1 = 0 // 바로 이전 집까지의 최대 이익 | ||
var prev2 = 0 // 이전 이전 집까지의 최대 이익 | ||
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for (num in nums) { | ||
var temp = prev1 | ||
prev1 = maxOf(prev2 + num, prev1) | ||
prev2 = temp | ||
} | ||
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return prev1 | ||
} | ||
} | ||
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class Solution { | ||
// 배열에서 연속된 숫자의 개수를 구하는 문제 | ||
// 1. 중복은 제거하고 카운트 | ||
// 2. 정렬하지 않고 계산도 가능 | ||
fun longestConsecutive(nums: IntArray): Int { | ||
if(nums.isEmpty()) return 0 | ||
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val numSet = nums.toHashSet() | ||
var maxLen = 0 | ||
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for(num in nums){ | ||
if((num - 1) !in numSet){ | ||
var currNum = num | ||
var currLen = 1 | ||
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while((currNum + 1) in numSet){ | ||
currNum++ | ||
currLen++ | ||
} | ||
if(currLen > maxLen) maxLen = currLen | ||
} | ||
} | ||
return maxLen | ||
} | ||
} | ||
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class Solution: | ||
# nums 에서 가장 빈도가 높은 k개의 요소를 찾는 문제 | ||
# 딕셔너리와 정렬을 사용해 해결 | ||
# 시간복잡도: O(n log n), 공간복잡도: O(n) | ||
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. heapq나 bucket sort를 쓰면 O(n) 또는 O(n log k)로 더 빠르게 가능합니다. 물론 가독성과 정확성으로는 이 방법이 가장 좋아보이긴 합니다. |
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def topKFrequent(self, nums: List[int], k: int) -> List[int]: | ||
freq_map = {} | ||
for num in nums: | ||
freq_map[num] = freq_map.get(num, 0) + 1 | ||
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sorted_nums = sorted(freq_map.items(), key=lambda x:x[1], reverse=True) | ||
return [num for num, _ in sorted_nums[:k]] | ||
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class Solution: | ||
# 2개의 수를 합해 target이 되는 경우를 찾는 문제 | ||
# 순서가 보장되는 python dictionary를 사용해서, | ||
# 요소 x에 대해서 target-x 가 딕셔너리 내에 있는지를 찾는다. | ||
def twoSum(self, nums: List[int], target: int) -> List[int]: | ||
dict = {} | ||
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. dict는 파이썬 내장 타입이라 변수명으로 사용하면 좋지 않습니다. 참고 부탁드립니다 |
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for i, num in enumerate(nums): | ||
remain = target - num | ||
if remain in dict: | ||
return [dict[remain], i] | ||
dict[num] = i |
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저도 이런 로직으로 풀이해서 바로 이해가 되었습니다.