refactor: Replace 'poll' with 'pop' in Heap (#416)

pull/418/head
Yudong Jin 2 years ago committed by GitHub
parent 8aebbaad21
commit 28aacccf44
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@ -86,7 +86,7 @@ int push(maxHeap *h, int val) {
}
/* 元素出堆 */
int poll(maxHeap *h) {
int pop(maxHeap *h) {
// 判空处理
if (isEmpty(h)) {
printf("heap is empty!");
@ -162,7 +162,7 @@ int main() {
printHeap(heap->data, heap->size);
/* 堆顶元素出堆 */
int top = poll(heap);
int top = pop(heap);
printf("\n堆顶元素 %d 出堆后\n", top);
printHeap(heap->data, heap->size);

@ -13,7 +13,7 @@ void testPush(priority_queue<int> &heap, int val)
PrintUtil::printHeap(heap);
}
void testPoll(priority_queue<int> &heap)
void testPop(priority_queue<int> &heap)
{
int val = heap.top();
heap.pop();
@ -43,11 +43,11 @@ int main()
cout << "\n堆顶元素为 " << peek << endl;
/* 堆顶元素出堆 */
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
/* 获取堆大小 */
int size = maxHeap.size();

@ -96,7 +96,7 @@ public:
}
/* 元素出堆 */
void poll() {
void pop() {
// 判空处理
if (empty()) {
throw out_of_range("堆为空");
@ -121,48 +121,35 @@ public:
};
void testPush(MaxHeap maxHeap, int val) {
maxHeap.push(val);
cout << "\n添加元素 " << val << "" << endl;
maxHeap.print();
}
void testPop(MaxHeap maxHeap) {
int val = maxHeap.peek();
maxHeap.poll();
cout << "\n出堆元素为 " << val << endl;
maxHeap.print();
}
/* Driver Code */
int main() {
/* 初始化大顶堆 */
vector<int> vec{9, 8, 6, 6, 7, 5, 2, 1, 4, 3, 6, 2};
MaxHeap maxheap(vec);
MaxHeap maxHeap(vec);
cout << "\n输入列表并建堆后" << endl;
maxheap.print();
maxHeap.print();
/* 获取堆顶元素 */
int peek = maxheap.peek();
int peek = maxHeap.peek();
cout << "\n堆顶元素为 " << peek << endl;
/* 元素入堆 */
int val = 7;
maxheap.push(val);
maxHeap.push(val);
cout << "\n元素 " << val << " 入堆后" << endl;
maxheap.print();
maxHeap.print();
/* 堆顶元素出堆 */
peek = maxheap.peek();
maxheap.poll();
peek = maxHeap.peek();
maxHeap.pop();
cout << "\n堆顶元素 " << peek << " 出堆后" << endl;
maxheap.print();
maxHeap.print();
/* 获取堆大小 */
int size = maxheap.size();
int size = maxHeap.size();
cout << "\n堆元素数量为 " << size << endl;
/* 判断堆是否为空 */
bool isEmpty = maxheap.empty();
bool isEmpty = maxHeap.empty();
cout << "\n堆是否为空 " << isEmpty << endl;
}

@ -18,7 +18,7 @@ public class heap
PrintUtil.printHeap(heap);
}
public void testPoll(PriorityQueue<int, int> heap)
public void testPop(PriorityQueue<int, int> heap)
{
int val = heap.Dequeue(); // 堆顶元素出堆
Console.WriteLine($"\n堆顶元素 {val} 出堆后\n");
@ -47,11 +47,11 @@ public class heap
/* 堆顶元素出堆 */
// 出堆元素会形成一个从大到小的序列
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
/* 获取堆大小 */
int size = maxHeap.Count;

@ -97,7 +97,7 @@ class MaxHeap
}
/* 元素出堆 */
public int poll()
public int pop()
{
// 判空处理
if (isEmpty())
@ -168,7 +168,7 @@ public class my_heap
maxHeap.print();
/* 堆顶元素出堆 */
peek = maxHeap.poll();
peek = maxHeap.pop();
Console.WriteLine($"堆顶元素 {peek} 出堆后");
maxHeap.print();

@ -76,7 +76,7 @@ func TestMyHeap(t *testing.T) {
maxHeap.print()
/* 堆顶元素出堆 */
peek = maxHeap.poll()
peek = maxHeap.pop()
fmt.Printf("\n堆顶元素 %d 出堆后\n", peek)
maxHeap.print()

@ -94,7 +94,7 @@ func (h *maxHeap) siftUp(i int) {
}
/* 元素出堆 */
func (h *maxHeap) poll() any {
func (h *maxHeap) pop() any {
// 判空处理
if h.isEmpty() {
fmt.Println("error")

@ -18,7 +18,7 @@ func levelOrder(root *TreeNode) []int {
// 初始化一个切片,用于保存遍历序列
nums := make([]int, 0)
for queue.Len() > 0 {
// poll
// 队首元素出队
node := queue.Remove(queue.Front()).(*TreeNode)
// 保存结点值
nums = append(nums, node.Val)

@ -36,7 +36,7 @@ func ArrToTree(arr []any) *TreeNode {
queue.PushBack(root)
i := 0
for queue.Len() > 0 {
// poll
// 队首元素出队
node := queue.Remove(queue.Front()).(*TreeNode)
i++
if i < len(arr) {

@ -12,12 +12,12 @@ import java.util.*;
public class heap {
public static void testPush(Queue<Integer> heap, int val) {
heap.add(val); // 元素入堆
heap.offer(val); // 元素入堆
System.out.format("\n元素 %d 入堆后\n", val);
PrintUtil.printHeap(heap);
}
public static void testPoll(Queue<Integer> heap) {
public static void testPop(Queue<Integer> heap) {
int val = heap.poll(); // 堆顶元素出堆
System.out.format("\n堆顶元素 %d 出堆后\n", val);
PrintUtil.printHeap(heap);
@ -44,11 +44,11 @@ public class heap {
System.out.format("\n堆顶元素为 %d\n", peek);
/* 堆顶元素出堆 */
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPoll(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
testPop(maxHeap);
/* 获取堆大小 */
int size = maxHeap.size();

@ -87,7 +87,7 @@ class MaxHeap {
}
/* 元素出堆 */
public int poll() {
public int pop() {
// 判空处理
if (isEmpty())
throw new EmptyStackException();
@ -129,18 +129,6 @@ class MaxHeap {
public class my_heap {
public static void testPush(MaxHeap maxHeap, int val) {
maxHeap.push(val); // 元素入堆
System.out.format("\n添加元素 %d 后\n", val);
maxHeap.print();
}
public static void testPoll(MaxHeap maxHeap) {
int val = maxHeap.poll(); // 堆顶元素出堆
System.out.format("\n出堆元素为 %d\n", val);
maxHeap.print();
}
public static void main(String[] args) {
/* 初始化大顶堆 */
MaxHeap maxHeap = new MaxHeap(Arrays.asList(9, 8, 6, 6, 7, 5, 2, 1, 4, 3, 6, 2));
@ -158,7 +146,7 @@ public class my_heap {
maxHeap.print();
/* 堆顶元素出堆 */
peek = maxHeap.poll();
peek = maxHeap.pop();
System.out.format("\n堆顶元素 %d 出堆后\n", peek);
maxHeap.print();

@ -82,7 +82,7 @@ class MaxHeap {
}
/* 元素出堆 */
poll() {
pop() {
// 判空处理
if (this.isEmpty()) throw new Error("堆为空");
// 交换根结点与最右叶结点(即交换首元素与尾元素)
@ -119,18 +119,6 @@ class MaxHeap {
}
}
function testPush(maxHeap, val) {
maxHeap.push(val); // 元素入堆
console.log(`\n添加元素 ${val}`);
maxHeap.print();
}
function testPoll(maxHeap) {
let val = maxHeap.poll(); // 堆顶元素出堆
console.log(`\n出堆元素为 ${val}`);
maxHeap.print();
}
/* Driver Code */
/* 初始化大顶堆 */
const maxHeap = new MaxHeap([9, 8, 6, 6, 7, 5, 2, 1, 4, 3, 6, 2]);
@ -148,7 +136,7 @@ console.log(`\n元素 ${val} 入堆后`);
maxHeap.print();
/* 堆顶元素出堆 */
peek = maxHeap.poll();
peek = maxHeap.pop();
console.log(`\n堆顶元素 ${peek} 出堆后`);
maxHeap.print();

@ -67,7 +67,7 @@ class MaxHeap:
# 循环向上堆化
i = p
def poll(self) -> int:
def pop(self) -> int:
""" 元素出堆 """
# 判空处理
assert not self.is_empty()
@ -102,18 +102,6 @@ class MaxHeap:
print_heap(self.max_heap)
def test_push(max_heap: MaxHeap, val: int):
max_heap.push(val) # 元素入堆
print(f"\n添加元素 {val}\n")
max_heap.print()
def test_poll(max_heap: MaxHeap):
val = max_heap.poll() # 堆顶元素出堆
print(f"\n出堆元素为 {val}\n")
max_heap.print()
""" Driver Code """
if __name__ == "__main__":
# 初始化大顶堆
@ -132,7 +120,7 @@ if __name__ == "__main__":
max_heap.print()
# 堆顶元素出堆
peek = max_heap.poll()
peek = max_heap.pop()
print(f"\n堆顶元素 {peek} 出堆后")
max_heap.print()

@ -81,7 +81,7 @@ class MaxHeap {
}
/* */
func poll() -> Int {
func pop() -> Int {
//
if isEmpty() {
fatalError("堆为空")
@ -148,7 +148,7 @@ enum MyHeap {
maxHeap.print()
/* */
peek = maxHeap.poll()
peek = maxHeap.pop()
print("\n堆顶元素 \(peek) 出堆后")
maxHeap.print()

@ -81,7 +81,7 @@ class MaxHeap {
}
/* 元素出堆 */
public poll(): number {
public pop(): number {
// 判空处理
if (this.isEmpty()) throw new RangeError('Heap is empty.');
// 交换根结点与最右叶结点(即交换首元素与尾元素)
@ -118,18 +118,6 @@ class MaxHeap {
}
}
function testPush(maxHeap: MaxHeap, val: number): void {
maxHeap.push(val); // 元素入堆
console.log(`\n添加元素 ${val}`);
maxHeap.print();
}
function testPoll(maxHeap: MaxHeap): void {
const val = maxHeap.poll(); // 堆顶元素出堆
console.log(`\n出堆元素为 ${val}`);
maxHeap.print();
}
/* Driver Code */
/* 初始化大顶堆 */
const maxHeap = new MaxHeap([9, 8, 6, 6, 7, 5, 2, 1, 4, 3, 6, 2]);
@ -147,7 +135,7 @@ console.log(`\n元素 ${val} 入堆后`);
maxHeap.print();
/* 堆顶元素出堆 */
peek = maxHeap.poll();
peek = maxHeap.pop();
console.log(`\n堆顶元素 ${peek} 出堆后`);
maxHeap.print();

@ -94,7 +94,7 @@ pub fn MaxHeap(comptime T: type) type {
}
//
pub fn poll(self: *Self) !T {
pub fn pop(self: *Self) !T {
//
if (self.isEmpty()) unreachable;
//
@ -171,7 +171,7 @@ pub fn main() !void {
try maxHeap.print(mem_allocator);
//
peek = try maxHeap.poll();
peek = try maxHeap.pop();
std.debug.print("\n堆顶元素 {} 出堆后\n", .{peek});
try maxHeap.print(mem_allocator);

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@ -19,14 +19,14 @@
而恰好,**堆的定义与优先队列的操作逻辑完全吻合**,大顶堆就是一个元素从大到小出队的优先队列。从使用角度看,我们可以将「优先队列」和「堆」理解为等价的数据结构。因此,本文与代码对两者不做特别区分,统一使用「堆」来命名。
堆的常用操作见下表(方法命名以 Java 为例)
堆的常用操作见下表,方法名需根据编程语言确定
<div class="center-table" markdown>
| 方法 | 描述 | 时间复杂度 |
| --------- | -------------------------------------------- | ----------- |
| add() | 元素入堆 | $O(\log n)$ |
| poll() | 堆顶元素出堆 | $O(\log n)$ |
| 方法 | 描述 | 时间复杂度 |
| --------- | ------------------------------------------ | ----------- |
| push() | 元素入堆 | $O(\log n)$ |
| pop() | 堆顶元素出堆 | $O(\log n)$ |
| peek() | 访问堆顶元素(大 / 小顶堆分别为最大 / 小值) | $O(1)$ |
| size() | 获取堆的元素数量 | $O(1)$ |
| isEmpty() | 判断堆是否为空 | $O(1)$ |
@ -49,11 +49,11 @@
Queue<Integer> maxHeap = new PriorityQueue<>((a, b) -> b - a);
/* 元素入堆 */
maxHeap.add(1);
maxHeap.add(3);
maxHeap.add(2);
maxHeap.add(5);
maxHeap.add(4);
maxHeap.offer(1);
maxHeap.offer(3);
maxHeap.offer(2);
maxHeap.offer(5);
maxHeap.offer(4);
/* 获取堆顶元素 */
int peek = maxHeap.peek(); // 5
@ -217,11 +217,11 @@
/* 堆顶元素出堆 */
// 调用 heap.Interface 的方法,来移除元素
heap.Pop(maxHeap)
heap.Pop(maxHeap)
heap.Pop(maxHeap)
heap.Pop(maxHeap)
heap.Pop(maxHeap)
heap.Pop(maxHeap) // 5
heap.Pop(maxHeap) // 4
heap.Pop(maxHeap) // 3
heap.Pop(maxHeap) // 2
heap.Pop(maxHeap) // 1
/* 获取堆大小 */
size := len(*maxHeap)
@ -236,13 +236,13 @@
=== "JavaScript"
```javascript title="heap.js"
// JavaScript 未提供内置 heap 类
// JavaScript 未提供内置 Heap 类
```
=== "TypeScript"
```typescript title="heap.ts"
// TypeScript 未提供内置 Heap 类
// TypeScript 未提供内置 Heap 类
```
=== "C"
@ -291,7 +291,7 @@
=== "Swift"
```swift title="heap.swift"
// Swift 未提供内置 heap 类
// Swift 未提供内置 Heap 类
```
=== "Zig"
@ -597,41 +597,41 @@
顾名思义,**从顶至底堆化的操作方向与从底至顶堆化相反**,我们比较根结点的值与其两个子结点的值,将最大的子结点与根结点执行交换,并循环以上操作,直到越过叶结点时结束,或当遇到无需交换的结点时提前结束。
=== "<1>"
![堆顶元素出堆步骤](heap.assets/heap_poll_step1.png)
![堆顶元素出堆步骤](heap.assets/heap_pop_step1.png)
=== "<2>"
![heap_poll_step2](heap.assets/heap_poll_step2.png)
![heap_pop_step2](heap.assets/heap_pop_step2.png)
=== "<3>"
![heap_poll_step3](heap.assets/heap_poll_step3.png)
![heap_pop_step3](heap.assets/heap_pop_step3.png)
=== "<4>"
![heap_poll_step4](heap.assets/heap_poll_step4.png)
![heap_pop_step4](heap.assets/heap_pop_step4.png)
=== "<5>"
![heap_poll_step5](heap.assets/heap_poll_step5.png)
![heap_pop_step5](heap.assets/heap_pop_step5.png)
=== "<6>"
![heap_poll_step6](heap.assets/heap_poll_step6.png)
![heap_pop_step6](heap.assets/heap_pop_step6.png)
=== "<7>"
![heap_poll_step7](heap.assets/heap_poll_step7.png)
![heap_pop_step7](heap.assets/heap_pop_step7.png)
=== "<8>"
![heap_poll_step8](heap.assets/heap_poll_step8.png)
![heap_pop_step8](heap.assets/heap_pop_step8.png)
=== "<9>"
![heap_poll_step9](heap.assets/heap_poll_step9.png)
![heap_pop_step9](heap.assets/heap_pop_step9.png)
=== "<10>"
![heap_poll_step10](heap.assets/heap_poll_step10.png)
![heap_pop_step10](heap.assets/heap_pop_step10.png)
与元素入堆操作类似,**堆顶元素出堆操作的时间复杂度为 $O(\log n)$** 。
=== "Java"
```java title="my_heap.java"
[class]{MaxHeap}-[func]{poll}
[class]{MaxHeap}-[func]{pop}
[class]{MaxHeap}-[func]{siftDown}
```
@ -639,7 +639,7 @@
=== "C++"
```cpp title="my_heap.cpp"
[class]{MaxHeap}-[func]{poll}
[class]{MaxHeap}-[func]{pop}
[class]{MaxHeap}-[func]{siftDown}
```
@ -647,7 +647,7 @@
=== "Python"
```python title="my_heap.py"
[class]{MaxHeap}-[func]{poll}
[class]{MaxHeap}-[func]{pop}
[class]{MaxHeap}-[func]{sift_down}
```
@ -655,7 +655,7 @@
=== "Go"
```go title="my_heap.go"
[class]{maxHeap}-[func]{poll}
[class]{maxHeap}-[func]{pop}
[class]{maxHeap}-[func]{siftDown}
```
@ -663,7 +663,7 @@
=== "JavaScript"
```javascript title="my_heap.js"
[class]{MaxHeap}-[func]{poll}
[class]{MaxHeap}-[func]{pop}
[class]{MaxHeap}-[func]{#siftDown}
```
@ -671,7 +671,7 @@
=== "TypeScript"
```typescript title="my_heap.ts"
[class]{MaxHeap}-[func]{poll}
[class]{MaxHeap}-[func]{pop}
[class]{MaxHeap}-[func]{siftDown}
```
@ -679,7 +679,7 @@
=== "C"
```c title="my_heap.c"
[class]{maxHeap}-[func]{poll}
[class]{maxHeap}-[func]{pop}
[class]{maxHeap}-[func]{siftDown}
```
@ -687,7 +687,7 @@
=== "C#"
```csharp title="my_heap.cs"
[class]{MaxHeap}-[func]{poll}
[class]{MaxHeap}-[func]{pop}
[class]{MaxHeap}-[func]{siftDown}
```
@ -695,7 +695,7 @@
=== "Swift"
```swift title="my_heap.swift"
[class]{MaxHeap}-[func]{poll}
[class]{MaxHeap}-[func]{pop}
[class]{MaxHeap}-[func]{siftDown}
```
@ -703,7 +703,7 @@
=== "Zig"
```zig title="my_heap.zig"
[class]{MaxHeap}-[func]{poll}
[class]{MaxHeap}-[func]{pop}
[class]{MaxHeap}-[func]{siftDown}
```

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