2023-06-25 20:51:31 +08:00
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// File: top_k.go
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// Created Time: 2023-06-24
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// Author: Reanon (793584285@qq.com)
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package chapter_heap
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import "container/heap"
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type minHeap []any
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func (h *minHeap) Len() int { return len(*h) }
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func (h *minHeap) Less(i, j int) bool { return (*h)[i].(int) < (*h)[j].(int) }
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func (h *minHeap) Swap(i, j int) { (*h)[i], (*h)[j] = (*h)[j], (*h)[i] }
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// Push heap.Interface 的方法,实现推入元素到堆
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func (h *minHeap) Push(x any) {
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*h = append(*h, x.(int))
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}
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// Pop heap.Interface 的方法,实现弹出堆顶元素
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func (h *minHeap) Pop() any {
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// 待出堆元素存放在最后
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last := (*h)[len(*h)-1]
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*h = (*h)[:len(*h)-1]
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return last
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}
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// Top 获取堆顶元素
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func (h *minHeap) Top() any {
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return (*h)[0]
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}
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2023-07-24 13:11:00 +08:00
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/* 基于堆查找数组中最大的 k 个元素 */
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2023-06-25 20:51:31 +08:00
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func topKHeap(nums []int, k int) *minHeap {
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h := &minHeap{}
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heap.Init(h)
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// 将数组的前 k 个元素入堆
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for i := 0; i < k; i++ {
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heap.Push(h, nums[i])
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}
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// 从第 k+1 个元素开始,保持堆的长度为 k
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for i := k; i < len(nums); i++ {
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// 若当前元素大于堆顶元素,则将堆顶元素出堆、当前元素入堆
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if nums[i] > h.Top().(int) {
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heap.Pop(h)
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heap.Push(h, nums[i])
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}
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}
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return h
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}
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