703. 数据流中的第 K 大元素
【代码】
/**
* @param {number} k
* @param {number[]} nums
*/
var KthLargest = function (k, nums) {
this.k = k;
this.heap = new MinHeap();
for (const x of nums) {
this.add(x);
}
};
/**
* @param {number} val
* @return {number}
*/
KthLargest.prototype.add = function (val) {
this.heap.offer(val);
if (this.heap.size() > this.k) {
this.heap.poll();
}
return this.heap.peek();
};
class MinHeap {
constructor(data = []) {
this.data = data;
this.comparator = (a, b) => a - b;
this.heapify();
}
//
heapify() {
if (this.size() < 2) return;
for (let i = 1; i < this.size(); i++) {
this.bubbleUp(i);
}
}
peek() {
if (this.size() === 0) return null;
return this.data[0];
}
offer(value) {
this.data.push(value);
this.bubbleUp(this.size() - 1);
}
/**
* 抛出第一个元素,并重新排序,使得剩下的元素中第一个任然最小
* @returns
*/
poll() {
if (this.size() === 0) {
return null;
}
const result = this.data[0];
const last = this.data.pop();
if (this.size() !== 0) {
this.data[0] = last;
this.bubbleDown(0);
}
return result;
}
bubbleUp(index) {
while (index > 0) {
const parentIndex = (index - 1) >> 1; // (index - 1) / 2
if (this.comparator(this.data[index], this.data[parentIndex]) < 0) {
this.swap(index, parentIndex);
index = parentIndex;
} else {
break;
}
}
}
bubbleDown(index) {
const lastIndex = this.size() - 1;
while (true) {
const leftIndex = index * 2 + 1;
const rightIndex = index * 2 + 2;
// 初始下标index
let findIndex = index;
// 如果第 leftIndex 位值小于第 index 位值,则移动下标到 leftIndex
if (
leftIndex <= lastIndex &&
this.comparator(this.data[leftIndex], this.data[findIndex]) < 0
) {
findIndex = leftIndex;
}
// 如果第 rightIndex 位值小于第 findIndex 位值,则移动下标到 rightIndex
if (
rightIndex <= lastIndex &&
this.comparator(this.data[rightIndex], this.data[findIndex]) < 0
) {
findIndex = rightIndex;
}
// 此时 findIndex 可能为 index、leftIndex、rightIndex,且第 findIndex 位值较小
if (index !== findIndex) {
// 交换index与findIndex下标位的值,并移动下标到findIndex
this.swap(index, findIndex);
index = findIndex;
} else {
break;
}
}
}
swap(index1, index2) {
[this.data[index1], this.data[index2]] = [this.data[index2], this.data[index1]];
}
size() {
return this.data.length;
}
}
/**
* Your KthLargest object will be instantiated and called as such:
* var obj = new KthLargest(k, nums)
* var param_1 = obj.add(val)
*/