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Add populate-notes.mjs that fetches problem descriptions and Python/C++ code stubs from LeetCode's GraphQL API. Populated all 197 NeetCode 150 note files with: - Problem description (examples, constraints) - Python code stub (function signature) - C++ code stub (function signature + includes) API responses cached in leetcode/.cache/leetcode/ for instant re-runs.
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TODO 0347. Top K Frequent Elements medium
Given an integer array nums and an integer k, return the k most frequent elements. You may return the answer in any order.
Example 1:
Input: nums = [1,1,1,2,2,3], k = 2
Output: [1,2]
Example 2:
Input: nums = [1], k = 1
Output: [1]
Example 3:
Input: nums = [1,2,1,2,1,2,3,1,3,2], k = 2
Output: [1,2]
Constraints:
1 <= nums.length <= 10^{5}-10^{4} <= nums[i] <= 10^{4}kis in the range[1, the number of unique elements in the array].- It is guaranteed that the answer is unique.
Follow up: Your algorithm's time complexity must be better than O(n log n), where n is the array's size.
TODO Approach
Write your approach here.
TODO Python
class Solution:
def topKFrequent(self, nums: List[int], k: int) -> List[int]:TODO C++
class Solution {
public:
vector<int> topKFrequent(vector<int>& nums, int k) {
}
};