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Visit original link: 225. Implement Stack using Queues - LeetCode Python/Java/C++/JS/C#/Go/Ruby Solutions for a better experience!

LeetCode link: 225. Implement Stack using Queues, difficulty: Easy.

Implement a last-in-first-out (LIFO) stack using only two queues. The implemented stack should support all the functions of a normal stack (push, top, pop, and empty).

Implement the MyStack class:

• void push(int x) Pushes element x to the top of the stack.
• int pop() Removes the element on the top of the stack and returns it.
• int top() Returns the element on the top of the stack.
• boolean empty() Returns true if the stack is empty, false otherwise.

Notes:

• You must use only standard operations of a queue, which means that only push to back, peek/pop from front, size and is empty operations are valid.
• Depending on your language, the queue may not be supported natively. You may simulate a queue using a list or deque (double-ended queue) as long as you use only a queue's standard operations.

Input: ["MyStack", "push", "push", "top", "pop", "empty"] [[], [1], [2], [], [], []]

Output: [null, null, null, 2, 2, false]

Explanation:

MyStack myStack = new MyStack();
myStack.push(1);
myStack.push(2);
myStack.top(); // return 2
myStack.pop(); // return 2
myStack.empty(); // return False

• 1 <= x <= 9
• At most 100 calls will be made to push, pop, top, and empty.
• All the calls to pop and top are valid.

Follow-up: Can you implement the stack using only one queue?

1. Two queues are used, one for input and output, and the other for temporary storage.
2. There are two options for using queues to simulate the functions of a stack:
   1. Option 1: Simplify the pop() and top() operations and complicate the push(x) operation. When push(x), you need to insert x into the front of the queue with effort.
   2. Option 2: Simplify the push(x) operation and complicate the pop() and top() operations. When pop() or top(), you need to find the last data with effort.
3. Advantages of Option 1: Less code, because it only needs to complicate one method, while Solution 2 complicates two methods; easier to understand logically because it sorts the data in the queue according to the last in, first out rule.

• Time complexity: push O(n), pop O(1), top O(1), empty O(1).
• Space complexity: O(n).

class MyStack:
    def __init__(self):
        self.queue = deque()
        self.queue_temp = deque()

    def push(self, x: int) -> None:
        # Move all 'queue' items to 'queue_temp'.
        while self.queue:
            self.queue_temp.append(
                self.queue.popleft()
            )
        
        # Emplaced 'x' at the first of 'queue' because 'queue' is empty.
        self.queue.append(x)

        # Move all 'queue_temp' items back to 'queue'.
        while self.queue_temp:
            self.queue.append(
                self.queue_temp.popleft()
            )

    def pop(self) -> int:
        return self.queue.popleft()

    def top(self) -> int:
        return self.queue[0]

    def empty(self) -> bool:
        return not self.queue

class MyStack {
private:
    queue<int> queue_;
    queue<int> queue_temp_;

public:
    MyStack() {}

    void push(int x) {
        // Step 1: Move all existing elements from main queue_ to temp_queue_
        while (!queue_.empty()) {
            queue_temp_.push(queue_.front());
            queue_.pop();
        }

        // Step 2: Add the new element to the now-empty main queue_
        // This ensures the newest element is at the front (LIFO behavior)
        queue_.push(x);

        // Step 3: Move all elements from temp_queue_ back to main queue_
        // This places all previous elements behind the new element
        while (!queue_temp_.empty()) {
            queue_.push(queue_temp_.front());
            queue_temp_.pop();
        }
    }

    int pop() {
        int val = queue_.front();
        queue_.pop();
        return val;
    }

    int top() { return queue_.front(); }

    bool empty() { return queue_.empty(); }
};

type MyStack struct {
    // Main queue that stores elements in stack order
    queue []int
    // Temporary queue used during push operations
    queueTemp []int
}

func Constructor() MyStack {
    return MyStack{
        queue: []int{},
        queueTemp: []int{},
    }
}

func (this *MyStack) Push(x int)  {
    // Step 1: Move all existing elements from main queue to temp queue
    for len(this.queue) > 0 {
        // Remove from front and add to temp queue
        this.queueTemp = append(this.queueTemp, this.queue[0])
        this.queue = this.queue[1:]
    }
    
    // Step 2: Add the new element to the now-empty main queue
    // This ensures the newest element is at the front (LIFO behavior)
    this.queue = append(this.queue, x)
    
    // Step 3: Move all elements from temp queue back to main queue
    // This places all previous elements behind the new element
    for len(this.queueTemp) > 0 {
        // Remove from front and add to main queue
        this.queue = append(this.queue, this.queueTemp[0])
        this.queueTemp = this.queueTemp[1:]
    }
}

func (this *MyStack) Pop() int {
    val := this.queue[0]
    this.queue = this.queue[1:]
    return val
}

func (this *MyStack) Top() int {
    return this.queue[0]
}

func (this *MyStack) Empty() bool {
    return len(this.queue) == 0
}

class MyStack
  def initialize
    @queue = [] # Main queue that stores elements in stack order
    @queue_temp = [] # Temporary queue used during push operations
  end

  def push(x)
    # Step 1: Move all existing elements from main queue to temp queue
    while !@queue.empty?
      @queue_temp.push(@queue.shift)
    end
    
    # Step 2: Add the new element to the now-empty main queue
    # This ensures the newest element is at the front (LIFO behavior)
    @queue.push(x)
    
    # Step 3: Move all elements from temp queue back to main queue
    # This places all previous elements behind the new element
    while !@queue_temp.empty?
      @queue.push(@queue_temp.shift)
    end
  end

  def pop
    @queue.shift
  end

  def top
    @queue.first
  end

  def empty
    @queue.empty?
  end
end

var MyStack = function () {
  this.queue = []
  this.queueTemp = []
};

MyStack.prototype.push = function (x) {
  while (this.queue.length > 0) {
    this.queueTemp.push(
      this.queue.shift() // remove from head
    )
  }

  this.queue.push(x)

  while (this.queueTemp.length > 0) {
    this.queue.push(
      this.queueTemp.shift() // remove from head
    )
  }
};

MyStack.prototype.pop = function () {
  return this.queue.shift() // remove from head
};

MyStack.prototype.top = function () {
  return this.queue[0]
};

MyStack.prototype.empty = function () {
  return this.queue.length === 0
};

class MyStack {
    private Queue<Integer> queue;
    private Queue<Integer> queueTemp;

    public MyStack() {
        queue = new LinkedList<>(); // main queue
        queueTemp = new LinkedList<>();
    }
    
    public void push(int x) {
        // Move all elements from main queue to temporary queue
        while (!queue.isEmpty()) {
            queueTemp.offer(
                queue.poll()  // Remove from front (standard queue operation)
            );
        }
        
        // Add the new element to the now-empty main queue
        // This will be the first element to be removed (stack's top)
        queue.offer(x);
        
        // Move all elements back from temporary queue to main queue
        // This ensures newest elements are at the front of the queue
        while (!queueTemp.isEmpty()) {
            queue.offer(
                queueTemp.poll()  // Remove from front (standard queue operation)
            );
        }
    }
    
    public int pop() {
        return queue.poll();
    }
    
    public int top() {
        return queue.peek();
    }
    
    public boolean empty() {
        return queue.isEmpty();
    }
}

public class MyStack
{
    private Queue<int> queue; // main queue
    private Queue<int> queueTemp;

    public MyStack()
    {
        queue = new Queue<int>();
        queueTemp = new Queue<int>();
    }
    
    public void Push(int x)
    {
        // Move all elements from main queue to temporary queue
        while (queue.Count > 0)
        {
            queueTemp.Enqueue(
                queue.Dequeue()
            );
        }
        
        // Add the new element to the now-empty main queue
        // This will be the first element to be removed (stack's top)
        queue.Enqueue(x);
        
        // Move all elements back from temporary queue to main queue
        // This ensures newest elements are at the front of the queue
        while (queueTemp.Count > 0)
        {
            queue.Enqueue(
                queueTemp.Dequeue()
            );
        }
    }
    
    public int Pop()
    {
        return queue.Dequeue();
    }
    
    public int Top()
    {
        return queue.Peek();
    }
    
    public bool Empty()
    {
        return queue.Count == 0;
    }
}

// Welcome to create a PR to complete the code of this language, thanks!

1. Two queues are used, one for input and output, and the other for temporary storage.
2. There are two options for using queues to simulate the functions of a stack:
   1. Option 1: Simplify the pop() and top() operations and complicate the push(x) operation. When push(x), you need to insert x into the front of the queue with effort.
   2. Option 2: Simplify the push(x) operation and complicate the pop() and top() operations. When pop() or top(), you need to find the last data with effort.
3. This article mainly introduces Option 2 to facilitate readers to compare the two solutions.

• Time complexity: push O(1), pop O(n), top O(n), empty O(1).
• Space complexity: O(n).

class MyStack:
    def __init__(self):
        self.queue = deque()
        self.queue_temp = deque()

    def push(self, x: int) -> None:
        self.queue.append(x)

    def pop(self) -> int:
        while len(self.queue) > 1:
            self.queue_temp.append(
                self.queue.popleft()
            )

        value = self.queue.popleft()

        while self.queue_temp:
            self.queue.append(
                self.queue_temp.popleft()
            )

        return value

    def top(self) -> int:
        value = None

        while self.queue:
            value = self.queue.popleft()
            self.queue_temp.append(value)

        while self.queue_temp:
            self.queue.append(
                self.queue_temp.popleft()
            )

        return value

    def empty(self) -> bool:
        return not self.queue

// Welcome to create a PR to complete the code of this language, thanks!

• You can use only one queue to make it. The only change is in the push method. Just find a way to insert x to the front of the queue without using another queue_temp.
• When implementing the push method, first queue.push(x), so that x is inserted at the tail (back) of the queue, but we need to put x at the head (front) of the queue.
• Execute queue.length - 1 times queue.push(queue.pop()) to move all the data before x to the back of x.

• Time complexity: push O(n), pop O(1), top O(1), empty O(1).
• Space complexity: O(n).

var MyStack = function () {
  this.queue = []
};

MyStack.prototype.push = function (x) {
  this.queue.push(x)

  _.times(
    this.queue.length - 1,
    () => this.queue.push(this.queue.shift())
  )
};

MyStack.prototype.pop = function () {
  return this.queue.shift()
};

MyStack.prototype.top = function () {
  return this.queue[0]
};

MyStack.prototype.empty = function () {
  return this.queue.length === 0
};

from collections import deque


class MyStack:
    def __init__(self):
        self.queue = deque()

    def push(self, x: int) -> None:
        self.queue.append(x)
        
        # Rotate the queue to put the new element at the front
        # This is done by moving all existing elements to the back
        for _ in range(len(self.queue) - 1):
            self.queue.append(
                self.queue.popleft()
            )

    def pop(self) -> int:
        return self.queue.popleft()

    def top(self) -> int:
        return self.queue[0]

    def empty(self) -> bool:
        return not self.queue

class MyStack {
private:
    queue<int> q_;

public:
    MyStack() {}
    
    void push(int x) {
        q_.push(x);
        
        // Rotate the queue to put the new element at the front
        // This is done by moving all existing elements to the back
        for (int i = 0; i < q_.size() - 1; i++) {
            q_.push(q_.front());  // Add front element to back
            q_.pop();            // Remove from front
        }
    }
    
    int pop() {
        int top = q_.front();
        q_.pop();
        return top;
    }
    
    int top() {
        return q_.front();
    }
    
    bool empty() {
        return q_.empty();
    }
};

type MyStack struct {
    queue []int
}

func Constructor() MyStack {
    return MyStack{
        queue: make([]int, 0),
    }
}

func (this *MyStack) Push(x int) {
    // Add the new element to the queue
    this.queue = append(this.queue, x)
    
    // Rotate the queue to put the new element at the front
    // This is done by moving all existing elements to the back
    for i := 0; i < len(this.queue) - 1; i++ {
        // Move first element to the back
        this.queue = append(this.queue, this.queue[0])
        this.queue = this.queue[1:]
    }
}

func (this *MyStack) Pop() int {
    // Remove and return the first element (stack's top)
    top := this.queue[0]
    this.queue = this.queue[1:]
    return top
}

func (this *MyStack) Top() int {
    return this.queue[0]
}

func (this *MyStack) Empty() bool {
    return len(this.queue) == 0
}

class MyStack
  def initialize
    @queue = []
  end

  def push(x)
    @queue.push(x)
    
    # Rotate the queue to put the new element at the front
    # This is done by moving all existing elements to the back
    (@queue.length - 1).times do
      @queue.push(@queue.shift)  # Move first element to the back
    end
  end

  def pop
    @queue.shift
  end

  def top
    @queue.first
  end

  def empty
    @queue.empty?
  end
end

import java.util.LinkedList;
import java.util.Queue;

class MyStack {
    private Queue<Integer> queue;

    public MyStack() {
        queue = new LinkedList<>();
    }
    
    public void push(int x) {
        queue.offer(x);
        
        // Rotate the queue to put the new element at the front
        // This is done by moving all existing elements to the back
        for (int i = 0; i < queue.size() - 1; i++) {
            queue.offer(queue.poll());  // Move first element to the back
        }
    }
    
    public int pop() {
        return queue.poll();
    }
    
    public int top() {
        return queue.peek();
    }
    
    public boolean empty() {
        return queue.isEmpty();
    }
}

using System.Collections.Generic;

public class MyStack
{
    private Queue<int> queue;

    public MyStack()
    {
        queue = new Queue<int>();
    }
    
    public void Push(int x)
    {
        queue.Enqueue(x);
        
        // Rotate the queue to put the new element at the front
        // This is done by moving all existing elements to the back
        for (int i = 0; i < queue.Count - 1; i++)
        {
            queue.Enqueue(queue.Dequeue());  // Move first element to the back
        }
    }
    
    public int Pop()
    {
        return queue.Dequeue();
    }
    
    public int Top()
    {
        return queue.Peek();
    }
    
    public bool Empty()
    {
        return queue.Count == 0;
    }
}

// Welcome to create a PR to complete the code of this language, thanks!

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Visit original link: 225. Implement Stack using Queues - LeetCode Python/Java/C++/JS/C#/Go/Ruby Solutions for a better experience!

GitHub repository: leetcode-python-java.