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Formatted question description: https://leetcode.ca/all/2558.html
2558. Take Gifts From the Richest Pile
Description
You are given an integer array gifts
denoting the number of gifts in various piles. Every second, you do the following:
- Choose the pile with the maximum number of gifts.
- If there is more than one pile with the maximum number of gifts, choose any.
- Leave behind the floor of the square root of the number of gifts in the pile. Take the rest of the gifts.
Return the number of gifts remaining after k
seconds.
Example 1:
Input: gifts = [25,64,9,4,100], k = 4 Output: 29 Explanation: The gifts are taken in the following way: - In the first second, the last pile is chosen and 10 gifts are left behind. - Then the second pile is chosen and 8 gifts are left behind. - After that the first pile is chosen and 5 gifts are left behind. - Finally, the last pile is chosen again and 3 gifts are left behind. The final remaining gifts are [5,8,9,4,3], so the total number of gifts remaining is 29.
Example 2:
Input: gifts = [1,1,1,1], k = 4 Output: 4 Explanation: In this case, regardless which pile you choose, you have to leave behind 1 gift in each pile. That is, you can't take any pile with you. So, the total gifts remaining are 4.
Constraints:
1 <= gifts.length <= 103
1 <= gifts[i] <= 109
1 <= k <= 103
Solutions
-
class Solution { public long pickGifts(int[] gifts, int k) { PriorityQueue<Integer> pq = new PriorityQueue<>((a, b) -> b - a); for (int v : gifts) { pq.offer(v); } while (k-- > 0) { pq.offer((int) Math.sqrt(pq.poll())); } long ans = 0; for (int v : pq) { ans += v; } return ans; } }
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class Solution { public: long long pickGifts(vector<int>& gifts, int k) { make_heap(gifts.begin(), gifts.end()); while (k--) { pop_heap(gifts.begin(), gifts.end()); gifts.back() = sqrt(gifts.back()); push_heap(gifts.begin(), gifts.end()); } return accumulate(gifts.begin(), gifts.end(), 0LL); } };
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class Solution: def pickGifts(self, gifts: List[int], k: int) -> int: h = [-v for v in gifts] heapify(h) for _ in range(k): heapreplace(h, -int(sqrt(-h[0]))) return -sum(h)
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func pickGifts(gifts []int, k int) (ans int64) { h := &hp{gifts} heap.Init(h) for ; k > 0; k-- { gifts[0] = int(math.Sqrt(float64(gifts[0]))) heap.Fix(h, 0) } for _, x := range gifts { ans += int64(x) } return } type hp struct{ sort.IntSlice } func (h hp) Less(i, j int) bool { return h.IntSlice[i] > h.IntSlice[j] } func (hp) Pop() (_ interface{}) { return } func (hp) Push(interface{}) {}
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impl Solution { pub fn pick_gifts(gifts: Vec<i32>, k: i32) -> i64 { let mut h = std::collections::BinaryHeap::from(gifts); let mut ans = 0; for _ in 0..k { if let Some(mut max_gift) = h.pop() { max_gift = (max_gift as f64).sqrt().floor() as i32; h.push(max_gift); } } for x in h { ans += x as i64; } ans } }
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function pickGifts(gifts: number[], k: number): number { const pq = new MaxPriorityQueue(); for (const v of gifts) { pq.enqueue(v, v); } while (k--) { let v = pq.dequeue().element; v = Math.floor(Math.sqrt(v)); pq.enqueue(v, v); } let ans = 0; while (!pq.isEmpty()) { ans += pq.dequeue().element; } return ans; }