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---
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comments: true
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---
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# 队列
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「队列 Queue」是一种遵循「先入先出 first in, first out」数据操作规则的线性数据结构。顾名思义,队列模拟的是排队现象,即外面的人不断加入队列尾部,而处于队列头部的人不断地离开。
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我们将队列头部称为「队首」,队列尾部称为「队尾」,将把元素加入队尾的操作称为「入队」,删除队首元素的操作称为「出队」。
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![queue_operations](queue.assets/queue_operations.png)
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<p align="center"> Fig. 队列的先入先出特性 </p>
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## 队列常用操作
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队列的常用操作见下表,方法命名需根据编程语言的设定来具体确定。
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<p align="center"> Table. 队列的常用操作 </p>
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<div class="center-table" markdown>
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| 方法 | 描述 |
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| --------- | ------------------------ |
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| offer() | 元素入队,即将元素添加至队尾 |
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| poll() | 队首元素出队 |
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| front() | 访问队首元素 |
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| size() | 获取队列的长度 |
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| isEmpty() | 判断队列是否为空 |
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</div>
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我们可以直接使用编程语言实现好的队列类。
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=== "Java"
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```java title="queue.java"
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/* 初始化队列 */
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Queue<Integer> queue = new LinkedList<>();
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/* 元素入队 */
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queue.offer(1);
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queue.offer(3);
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queue.offer(2);
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queue.offer(5);
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queue.offer(4);
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/* 访问队首元素 */
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int peek = queue.peek();
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/* 元素出队 */
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int poll = queue.poll();
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/* 获取队列的长度 */
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int size = queue.size();
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/* 判断队列是否为空 */
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boolean isEmpty = queue.isEmpty();
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```
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=== "C++"
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```cpp title="queue.cpp"
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/* 初始化队列 */
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queue<int> queue;
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/* 元素入队 */
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queue.push(1);
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queue.push(3);
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queue.push(2);
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queue.push(5);
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queue.push(4);
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/* 访问队首元素 */
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int front = queue.front();
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/* 元素出队 */
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queue.pop();
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/* 获取队列的长度 */
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int size = queue.size();
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/* 判断队列是否为空 */
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bool empty = queue.empty();
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```
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=== "Python"
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```python title="queue.py"
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""" 初始化队列 """
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# 在 Python 中,我们一般将双向队列类 deque 看左队列使用
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# 虽然 queue.Queue() 是纯正的队列类,但不太好用,因此不建议
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que = collections.deque()
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""" 元素入队 """
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que.append(1)
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que.append(3)
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que.append(2)
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que.append(5)
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que.append(4)
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""" 访问队首元素 """
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front = que[0];
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""" 元素出队 """
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pop = que.popleft()
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""" 获取队列的长度 """
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size = len(que)
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""" 判断队列是否为空 """
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is_empty = len(que) == 0
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```
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=== "Go"
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```go title="queue.go"
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```
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=== "JavaScript"
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```js title="queue.js"
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```
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=== "TypeScript"
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```typescript title="queue.ts"
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```
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=== "C"
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```c title="queue.c"
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```
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=== "C#"
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```csharp title="queue.cs"
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```
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## 队列实现
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队列需要一种可以在一端添加,并在另一端删除的数据结构,也可以使用链表或数组来实现。
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### 基于链表的实现
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我们将链表的「头结点」和「尾结点」分别看作是队首和队尾,并规定队尾只可添加结点,队首只可删除结点。
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=== "Java"
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```java title="linkedlist_queue.java"
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/* 基于链表实现的队列 */
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class LinkedListQueue {
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private ListNode front, rear; // 头结点 front ,尾结点 rear
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private int queSize = 0;
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public LinkedListQueue() {
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front = null;
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rear = null;
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}
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/* 获取队列的长度 */
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public int size() {
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return queSize;
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}
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/* 判断队列是否为空 */
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public boolean isEmpty() {
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return size() == 0;
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}
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/* 入队 */
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public void offer(int num) {
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// 尾结点后添加 num
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ListNode node = new ListNode(num);
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// 如果队列为空,则令头、尾结点都指向该结点
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if (front == null) {
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front = node;
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rear = node;
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// 如果队列不为空,则将该结点添加到尾结点后
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} else {
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rear.next = node;
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rear = node;
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}
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queSize++;
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}
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/* 出队 */
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public int poll() {
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int num = peek();
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// 删除头结点
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front = front.next;
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queSize--;
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return num;
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}
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/* 访问队首元素 */
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public int peek() {
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if (size() == 0)
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throw new IndexOutOfBoundsException();
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return front.val;
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}
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}
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```
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=== "C++"
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```cpp title="linkedlist_queue.cpp"
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/* 基于链表实现的队列 */
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class LinkedListQueue {
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private:
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ListNode *front, *rear; // 头结点 front ,尾结点 rear
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int queSize;
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public:
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LinkedListQueue() {
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front = nullptr;
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rear = nullptr;
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queSize = 0;
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}
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/* 获取队列的长度 */
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int size() {
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return queSize;
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}
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/* 判断队列是否为空 */
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bool empty() {
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return queSize == 0;
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}
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/* 入队 */
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void offer(int num) {
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// 尾结点后添加 num
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ListNode* node = new ListNode(num);
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// 如果队列为空,则令头、尾结点都指向该结点
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if (front == nullptr) {
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front = node;
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rear = node;
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}
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// 如果队列不为空,则将该结点添加到尾结点后
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else {
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rear->next = node;
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rear = node;
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}
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queSize++;
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}
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/* 出队 */
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int poll() {
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int num = peek();
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// 删除头结点
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front = front->next;
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queSize--;
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return num;
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}
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/* 访问队首元素 */
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int peek() {
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if (size() == 0)
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throw out_of_range("队列为空");
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return front->val;
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}
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};
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```
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=== "Python"
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```python title="linkedlist_queue.py"
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""" 基于链表实现的队列 """
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class LinkedListQueue:
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def __init__(self):
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self.__front = None # 头结点 front
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self.__rear = None # 尾结点 rear
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self.__size = 0
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""" 获取队列的长度 """
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def size(self):
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return self.__size
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""" 判断队列是否为空 """
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def is_empty(self):
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return not self.__front
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""" 入队 """
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def push(self, num):
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# 尾结点后添加 num
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node = ListNode(num)
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# 如果队列为空,则令头、尾结点都指向该结点
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if self.__front == 0:
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self.__front = node
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self.__rear = node
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# 如果队列不为空,则将该结点添加到尾结点后
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else:
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self.__rear.next = node
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self.__rear = node
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self.__size += 1
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""" 出队 """
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def poll(self):
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num = self.peek()
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# 删除头结点
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self.__front = self.__front.next
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self.__size -= 1
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return num
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""" 访问队首元素 """
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def peek(self):
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if self.size() == 0:
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print("队列为空")
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return False
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return self.__front.val
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```
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=== "Go"
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```go title="linkedlist_queue.go"
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```
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=== "JavaScript"
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```js title="linkedlist_queue.js"
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```
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=== "TypeScript"
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```typescript title="linkedlist_queue.ts"
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```
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=== "C"
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```c title="linkedlist_queue.c"
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```
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=== "C#"
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```csharp title="linkedlist_queue.cs"
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```
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### 基于数组的实现
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数组的删除首元素的时间复杂度为 $O(n)$ ,因此不适合直接用来实现队列。然而,我们可以借助两个指针 `front` , `rear` 来分别记录队首和队尾的索引位置,在入队 / 出队时分别将 `front` / `rear` 向后移动一位即可,这样每次仅需操作一个元素,时间复杂度降至 $O(1)$ 。
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还有一个问题,在入队与出队的过程中,两个指针都在向后移动,而到达尾部后则无法继续移动了。为了解决此问题,我们可以采取一个取巧方案,即将数组看作是 “环形” 的。具体做法是规定指针越过数组尾部后,再次回到头部接续遍历,这样相当于使数组 “首尾相连” 了。
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为了适应环形数组的设定,获取长度 `size()` 、入队 `offer()` 、出队 `poll()` 方法都需要做相应的取余操作处理,使得当尾指针绕回数组头部时,仍然可以正确处理操作。
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基于数组实现的队列有一个缺点,即长度不可变。但这点我们可以通过动态数组来解决,有兴趣的同学可以自行实现。
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=== "Java"
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```java title="array_queue.java"
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/* 基于环形数组实现的队列 */
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class ArrayQueue {
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private int[] nums; // 用于存储队列元素的数组
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private int front = 0; // 头指针,指向队首
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private int rear = 0; // 尾指针,指向队尾 + 1
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public ArrayQueue(int capacity) {
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// 初始化数组
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nums = new int[capacity];
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}
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/* 获取队列的容量 */
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public int capacity() {
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return nums.length;
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}
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/* 获取队列的长度 */
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public int size() {
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int capacity = capacity();
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// 由于将数组看作为环形,可能 rear < front ,因此需要取余数
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return (capacity + rear - front) % capacity;
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}
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/* 判断队列是否为空 */
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public boolean isEmpty() {
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return rear - front == 0;
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}
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/* 入队 */
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public void offer(int num) {
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if (size() == capacity()) {
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System.out.println("队列已满");
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return;
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}
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// 尾结点后添加 num
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nums[rear] = num;
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// 尾指针向后移动一位,越过尾部后返回到数组头部
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rear = (rear + 1) % capacity();
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}
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/* 出队 */
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public int poll() {
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int num = peek();
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// 队头指针向后移动一位,若越过尾部则返回到数组头部
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front = (front + 1) % capacity();
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return num;
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}
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/* 访问队首元素 */
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public int peek() {
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// 删除头结点
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if (isEmpty())
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throw new EmptyStackException();
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return nums[front];
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}
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/* 访问指定索引元素 */
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int get(int index) {
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if (index >= size())
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throw new IndexOutOfBoundsException();
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return nums[(front + index) % capacity()];
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}
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}
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```
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=== "C++"
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```cpp title="array_queue.cpp"
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/* 基于环形数组实现的队列 */
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class ArrayQueue {
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private:
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int *nums; // 用于存储队列元素的数组
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int cap; // 队列容量
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int front = 0; // 头指针,指向队首
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int rear = 0; // 尾指针,指向队尾 + 1
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public:
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ArrayQueue(int capacity) {
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// 初始化数组
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cap = capacity;
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nums = new int[capacity];
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}
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/* 获取队列的容量 */
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int capacity() {
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return cap;
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}
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/* 获取队列的长度 */
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int size() {
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// 由于将数组看作为环形,可能 rear < front ,因此需要取余数
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return (capacity() + rear - front) % capacity();
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}
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/* 判断队列是否为空 */
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bool empty() {
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return rear - front == 0;
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}
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/* 入队 */
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void offer(int num) {
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if (size() == capacity()) {
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cout << "队列已满" << endl;
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return;
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}
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// 尾结点后添加 num
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nums[rear] = num;
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// 尾指针向后移动一位,越过尾部后返回到数组头部
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rear = (rear + 1) % capacity();
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}
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/* 出队 */
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int poll() {
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int num = peek();
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// 队头指针向后移动一位,若越过尾部则返回到数组头部
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front = (front + 1) % capacity();
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return num;
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}
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/* 访问队首元素 */
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int peek() {
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// 删除头结点
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if (empty())
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throw out_of_range("队列为空");
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return nums[front];
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}
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/* 访问指定位置元素 */
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int get(int index) {
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if (index >= size())
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throw out_of_range("索引越界");
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return nums[(front + index) % capacity()]
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}
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};
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```
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=== "Python"
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```python title="array_queue.py"
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""" 基于环形数组实现的队列 """
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class ArrayQueue:
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def __init__(self, size):
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self.__nums = [0] * size # 用于存储队列元素的数组
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self.__front = 0 # 头指针,指向队首
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self.__rear = 0 # 尾指针,指向队尾 + 1
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""" 获取队列的容量 """
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def capacity(self):
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return len(self.__nums)
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""" 获取队列的长度 """
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def size(self):
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# 由于将数组看作为环形,可能 rear < front ,因此需要取余数
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return (self.capacity() + self.__rear - self.__front) % self.capacity()
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""" 判断队列是否为空 """
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def is_empty(self):
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return (self.__rear - self.__front) == 0
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""" 入队 """
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def push(self, val):
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if self.size() == self.capacity():
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print("队列已满")
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return False
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# 尾结点后添加 num
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self.__nums[self.__rear] = val
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# 尾指针向后移动一位,越过尾部后返回到数组头部
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self.__rear = (self.__rear + 1) % self.capacity()
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""" 出队 """
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def poll(self):
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# 删除头结点
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num = self.peek()
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# 队头指针向后移动一位,若越过尾部则返回到数组头部
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self.__front = (self.__front + 1) % self.capacity()
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return num
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""" 访问队首元素 """
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def peek(self):
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# 删除头结点
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if self.is_empty():
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print("队列为空")
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return False
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return self.__nums[self.__front]
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""" 访问指定位置元素 """
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def get(self, index):
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if index >= self.size():
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print("索引越界")
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return False
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return self.__nums[(self.__front + index) % self.capacity()]
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""" 返回列表用于打印 """
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def to_list(self):
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res = [0] * self.size()
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j = self.__front
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for i in range(self.size()):
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res[i] = self.__nums[(j % self.capacity())]
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j += 1
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return res
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```
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=== "Go"
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```go title="array_queue.go"
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```
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=== "JavaScript"
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```js title="array_queue.js"
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```
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=== "TypeScript"
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```typescript title="array_queue.ts"
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```
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=== "C"
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```c title="array_queue.c"
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```
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=== "C#"
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```csharp title="array_queue.cs"
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```
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## 队列典型应用
|
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- **淘宝订单。** 购物者下单后,订单就被加入到队列之中,随后系统再根据顺序依次处理队列中的订单。在双十一时,在短时间内会产生海量的订单,如何处理「高并发」则是工程师们需要重点思考的问题。
|
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|
- **各种待办事项。** 例如打印机的任务队列、餐厅的出餐队列等等。
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