703. Kth Largest Element in a Stream #23
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nanae772
reviewed
Sep 15, 2025
| k = 0 | ||
| nums = [] | ||
| def __init__(self, k: int, nums: List[int]): | ||
| self.k = k - 1 |
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k番目を取るには(k-1)番目を見なければいけないということで理解はできるのですが、それを理解できるのがaddのほうを読んだ後なので自分ならこちらは自然に見えるようself.k = kとして、addでreturnする際にself.k - 1とするかなと思いました。
| class KthLargest: | ||
| def __init__(self, k: int, nums: List[int]): | ||
| self.k = k | ||
| self.nums = [] |
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numsだけだと数値が入っていること以外が伝わりづらいため、上位k個のスコアを保持していることが分かるtop_k_scoresなどが良いかなと思いました
| self.k = k | ||
| self.nums = MinHeap() | ||
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| for n in nums: |
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nはデータのサイズなどを表す際によく使われる一文字変数なので（O(n), O(nlogn)など計算量の表記などでもよく使われる）、個人的にはnumくらいにしたいなと思いました。
| self.heap[pos] = new_item | ||
| self._sift_up(pos) | ||
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| def size(self): |
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これは__len__として実装してもよいかなと思いました(馴染みのあるlen()を使ってサイズが分かるようになるので)
https://docs.python.org/3/reference/datamodel.html#object.__len__
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LGTM |
nodchip
reviewed
Sep 17, 2025
| ### 解答（AC） | ||
| ```py | ||
| class KthLargest: | ||
| k = 0 |
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クラス変数とインスタンス変数の両方を使っている点に違和感を感じました。インスタンス変数のみで十分だと思います。
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703. Kth Largest Element in a Stream
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