232. 用栈实现队列
题目来源:232. 用栈实现队列
请你仅使用两个栈实现先入先出队列。队列应当支持一般队列支持的所有操作(push
、pop
、peek
、empty
):
实现 MyQueue
类:
void push(int x)
将元素 x 推到队列的末尾int pop()
从队列的开头移除并返回元素int peek()
返回队列开头的元素boolean empty()
如果队列为空,返回true
;否则,返回false
说明:
- 你只能使用标准的栈操作 —— 也就是只有
push to top
,peek/pop from top
,size
, 和is empty
操作是合法的。 - 你所使用的语言也许不支持栈。你可以使用 list 或者 deque(双端队列)来模拟一个栈,只要是标准的栈操作即可。
进阶:
- 你能否实现每个操作均摊时间复杂度为
O(1)
的队列?换句话说,执行n
个操作的总时间复杂度为O(n)
,即使其中一个操作可能花费较长时间。
/** * Initialize your data structure here. */ var MyQueue = function() { this.inStack = []; this.outStack = []; }; /** * Push element x to the back of queue. * @param {number} x * @return {void} */ MyQueue.prototype.push = function(x) { this.inStack.push(x); }; /** * Removes the element from in front of queue and returns that element. * @return {number} */ MyQueue.prototype.pop = function() { if(!this.outStack.length){ this.in2out(); } return this.outStack.pop(); }; /** * Get the front element. * @return {number} */ MyQueue.prototype.peek = function() { if(!this.outStack.length){ this.in2out(); } return this.outStack[this.outStack.length - 1]; }; /** * Returns whether the queue is empty. * @return {boolean} */ MyQueue.prototype.empty = function() { return this.inStack.length == 0 && this.outStack.length == 0; }; /** * instack to outstack * @return {void} */ MyQueue.prototype.in2out = function() { while(this.inStack.length){ this.outStack.push(this.inStack.pop()); } }; /** * Your MyQueue object will be instantiated and called as such: * var obj = new MyQueue() * obj.push(x) * var param_2 = obj.pop() * var param_3 = obj.peek() * var param_4 = obj.empty() */
示例:
输入: ["MyQueue", "push", "push", "peek", "pop", "empty"] [[], [1], [2], [], [], []] 输出: [null, null, null, 1, 1, false] 解释: MyQueue myQueue = new MyQueue(); myQueue.push(1); // queue is: [1] myQueue.push(2); // queue is: [1, 2] (leftmost is front of the queue) myQueue.peek(); // return 1 myQueue.pop(); // return 1, queue is [2] myQueue.empty(); // return false
Python3
class MyQueue: def __init__(self): """ Initialize your data structure here. """ self.inStack = list() self.outStack = list() def push(self, x: int) -> None: """ Push element x to the back of queue. """ self.inStack.append(x) def in2out(self) -> None: """ instack to outstack. """ while self.inStack: self.outStack.append(self.inStack.pop()) def pop(self) -> int: """ Removes the element from in front of queue and returns that element. """ if not self.outStack: self.in2out() return self.outStack.pop() def peek(self) -> int: """ Get the front element. """ if not self.outStack: self.in2out() return self.outStack[-1] def empty(self) -> bool: """ Returns whether the queue is empty. """ return not self.inStack and not self.outStack # Your MyQueue object will be instantiated and called as such: if __name__ == '__main__': obj = MyQueue() x = 1 obj.push(x) obj.push(3) obj.push(2) print(obj.inStack, obj.outStack) param_2 = obj.pop() print(obj.inStack, obj.outStack, param_2) param_3 = obj.peek() print(obj.inStack, obj.outStack, param_3) param_4 = obj.empty() print(obj.inStack, obj.outStack, param_4)
提示:
1 <= x <= 9
- 最多调用
100
次push
、pop
、peek
和empty
- 假设所有操作都是有效的 (例如,一个空的队列不会调用
pop
或者peek
操作)