Heap va Priority Queue
Uyum (heap) - maxsus binary tree bo’lib, bitta qoidaga bo’ysunadi: har bir ota-tugun o’z bolalaridan kichik (min-heap) yoki katta (max-heap) bo’ladi. Shu sabab eng kichik (yoki eng katta) element doim ildizda turadi va uni O(1) da olib qo’ya olasiz. Uyum ko’pincha ustuvor navbat (priority queue) yasashda ishlatiladi - bu ham navbat, lekin undan eng muhim element birinchi chiqadi.
Qiziq tomoni: uyum aslida oddiy slice ustida saqlanadi. i tugunning bolalari 2i+1 va 2i+2 indekslarda turadi - alohida ko’rsatkichlar (pointer) kerak emas.
Murakkablik (complexity)
| Amal | Murakkablik |
|---|---|
| Eng kichikni ko’rish (peek) | O(1) |
| Qo’shish (push) | O(log n) |
| Eng kichikni olish (pop) | O(log n) |
| Slice dan heap qurish | O(n) |
container/heap bilan
Go da uyumni noldan yozib o’tirish shart emas - container/heap bor. Siz faqat heap.Interface ni (ya’ni sort.Interface ustiga Push/Pop) yozib berasiz, qolganini paketning o’zi qiladi.
package main
import (
"container/heap"
"fmt"
)
// IntHeap - min-heap
type IntHeap []int
func (h IntHeap) Len() int { return len(h) }
func (h IntHeap) Less(i, j int) bool { return h[i] < h[j] }
func (h IntHeap) Swap(i, j int) { h[i], h[j] = h[j], h[i] }
func (h *IntHeap) Push(x any) { *h = append(*h, x.(int)) }
func (h *IntHeap) Pop() any {
old := *h
n := len(old)
v := old[n-1]
*h = old[:n-1]
return v
}
func main() {
h := &IntHeap{5, 2, 8, 1}
heap.Init(h) // O(n): slice dan heap quramiz
heap.Push(h, 3) // O(log n)
// eng kichikdan boshlab hammasini chiqaramiz
for h.Len() > 0 {
fmt.Print(heap.Pop(h), " ")
}
fmt.Println()
}$ go run heap.go
1 2 3 5 8Pop doim eng kichik elementni beradi, shuning uchun natija saralangan holda chiqadi. Less ni h[i] > h[j] qilib qo’ysangiz, max-heap bo’ladi - eng kattasidan chiqaradi.
Xulosa: Uyum - “eng muhim elementni tez olib ber” degan masalaning yechimi. Go da container/heap shay turibdi.
Manba / batafsil: container/heap - pkg.go.dev