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Merge pull request #303 from HaJunYoo/main
[HaJunYoo][WEEK 01] 리트코드 문제 풀이
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class Solution: | ||
# Time complexity: O(n) | ||
def containsDuplicate(self, nums: List[int]) -> bool: | ||
string_len = len(nums) | ||
set_len = len(set(nums)) | ||
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return string_len != set_len |
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# Definition for a binary tree node. | ||
# class TreeNode: | ||
# def __init__(self, val=0, left=None, right=None): | ||
# self.val = val | ||
# self.left = left | ||
# self.right = right | ||
from collections import defaultdict | ||
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class Solution: | ||
# Time complexity: O(n) | ||
def kthSmallest(self, root: Optional[TreeNode], k: int) -> int: | ||
self.count = 0 | ||
self.result = 0 | ||
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def dfs(node): | ||
if not node: | ||
return | ||
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dfs(node.left) | ||
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self.count += 1 | ||
if self.count == k: | ||
self.result = node.val | ||
return | ||
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dfs(node.right) | ||
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dfs(root) | ||
return self.result |
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class Solution: | ||
# Time complexity: O(log n) | ||
def hammingWeight(self, n: int) -> int: | ||
cnt = 0 | ||
while n > 0: | ||
if n % 2 == 1: | ||
cnt += 1 | ||
n = n // 2 | ||
return cnt |
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class Solution: | ||
# Time complexity: O(n^2) = O(n) * O(n) | ||
def countSubstrings(self, s: str) -> int: | ||
self.count = 0 | ||
n = len(s) | ||
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def two_pointer_expand(left, right): | ||
while left >= 0 and right < n and s[left] == s[right]: | ||
self.count += 1 | ||
left -= 1 | ||
right += 1 | ||
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for i in range(0, n): | ||
# 1, 3, 5 ... | ||
two_pointer_expand(i, i) | ||
# 2, 4, 6 ... | ||
two_pointer_expand(i, i + 1) | ||
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return self.count |
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from collections import defaultdict | ||
from typing import List | ||
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class Solution: | ||
# Time complexity: O(nlogn) -> O(n) + O(nlogn) + O(k) | ||
def topKFrequent(self, nums: List[int], k: int) -> List[int]: | ||
counter_dict = defaultdict(int) | ||
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for n in nums: | ||
counter_dict[n] += 1 | ||
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count_list = [] | ||
for key, val in counter_dict.items(): | ||
count_list.append((key, val)) | ||
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count_list.sort(key=lambda x: x[1], reverse=True) | ||
answer = [a for a, b in count_list[:k]] | ||
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return answer |