Kth Largest Element in a Stream
Description
Design a class to find the kth largest element in a stream. Note that it is the kth largest element in the sorted order, not the kth distinct element.
Your KthLargest class will have a constructor which accepts an integer k and an integer array nums, which contains initial elements from the stream. For each call to the method KthLargest.add, return the element representing the kth largest element in the stream.
Example:
int k = 3; int[] arr = [4,5,8,2]; KthLargest kthLargest = new KthLargest(3, arr); kthLargest.add(3); // returns 4 kthLargest.add(5); // returns 5 kthLargest.add(10); // returns 5 kthLargest.add(9); // returns 8 kthLargest.add(4); // returns 8
Note:
You may assume that nums' length ≥ k-1 and k ≥ 1.
Solution(javascript)
class Heap {
constructor(list, compare = (a, b) => a - b) {
this.left = index => 2 * index + 1
this.right = index => 2 * index + 2
this.parent = index => Math.floor((index - 1) / 2)
this.heapify = (index = 0) => {
const { list } = this
const leftIndex = this.left(index)
const rightIndex = this.right(index)
let maxIndex = index
if (list[leftIndex] !== undefined
&& this.compare(list[maxIndex], list[leftIndex]) > 0) {
maxIndex = leftIndex
}
if (list[rightIndex] !== undefined
&& this.compare(list[maxIndex], list[rightIndex]) > 0) {
maxIndex = rightIndex
}
if (index !== maxIndex) {
const temp = list[index]
list[index] = list[maxIndex]
list[maxIndex] = temp
this.heapify(maxIndex)
}
}
this.buildHeap = () => {
for (let i = Math.floor(this.list.length / 2); i >= 0; i--) {
this.heapify(i)
}
return this.list
}
this.extract = () => {
const temp = this.list[0]
this.list[0] = this.list[this.list.length - 1]
this.list[this.list.length - 1] = temp
const result = this.list.pop()
this.heapify(0)
return result
}
this.insert = (item) => {
const { list } = this
list.push(item)
let index = list.length - 1
let parentIndex = this.parent(index)
while (list[parentIndex] !== undefined && this.compare(list[parentIndex], list[index]) > 0) {
const temp = list[index]
list[index] = list[parentIndex]
list[parentIndex] = temp
index = parentIndex
parentIndex = this.parent(index)
}
}
this.list = list
this.compare = compare
this.buildHeap()
}
}
const KthLargest = function (k, nums) {
const heap = new Heap(
nums,
(a, b) => a - b,
)
while (heap.list.length > k) {
heap.extract()
}
this.heap = heap
this.k = k
}
KthLargest.prototype.add = function (val) {
if (this.heap.list.length < this.k) {
this.heap.insert(val)
return this.heap.list[0]
}
const min = this.heap.list[0]
if (val <= min) {
return min
}
this.heap.extract()
this.heap.insert(val)
return this.heap.list[0]
}