[LeetCode] 225. Implement Stack using Queues 用队列来实现栈
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Implement the following operations of a stack using queues.
- push(x) -- Push element x onto stack.
- pop() -- Removes the element on top of the stack.
- top() -- Get the top element.
- empty() -- Return whether the stack is empty.
Notes:
- You may assume that all operations are valid (for example, no pop or top operations will be called on an empty stack).
- Depending on your language, queue may not be supported natively. You may simulate a queue by using a list or deque (double-ended queue), as long as you use only standard operations of a queue -- which means only
push to back
,pop from front
,size
, andis empty
operations are valid.
Credits:
Special thanks to @jianchao.li.fighter for adding this problem and all test cases.
用队列Queues的基本操作来实现栈Stack,队列和栈都是重要的数据结构,区别主要是,队列是先进先出,而栈是先进后出。
解法1: 在队列push进来新元素时,就把其它元素pop出来排到新元素的后面,新元素就在前面了,就可以后进先出。就好像大家都在排队,来了个重要客人,要让他第一,其他人从前面按顺序跑到他后面。
解法2: push的时候,其他元素不动只是用一个变量记住这个新元素。当top的时候直接给这个变量的值。当pop时,在调整顺序,把最后一个排到前面,弹出。变量记住目前在最尾部的值。
Java:
class MyStack { LinkedList<Integer> queue1 = new LinkedList<Integer>(); LinkedList<Integer> queue2 = new LinkedList<Integer>(); // Push element x onto stack. public void push(int x) { if(empty()){ queue1.offer(x); }else{ if(queue1.size()>0){ queue2.offer(x); int size = queue1.size(); while(size>0){ queue2.offer(queue1.poll()); size--; } }else if(queue2.size()>0){ queue1.offer(x); int size = queue2.size(); while(size>0){ queue1.offer(queue2.poll()); size--; } } } } // Removes the element on top of the stack. public void pop() { if(queue1.size()>0){ queue1.poll(); }else if(queue2.size()>0){ queue2.poll(); } } // Get the top element. public int top() { if(queue1.size()>0){ return queue1.peek(); }else if(queue2.size()>0){ return queue2.peek(); } return 0; } // Return whether the stack is empty. public boolean empty() { return queue1.isEmpty() & queue2.isEmpty(); } }
Python: Time: push: O(n), pop: O(1), top: O(1), Space: O(n)
class Queue: def __init__(self): self.data = collections.deque() def push(self, x): self.data.append(x) def peek(self): return self.data[0] def pop(self): return self.data.popleft() def size(self): return len(self.data) def empty(self): return len(self.data) == 0 class Stack: # initialize your data structure here. def __init__(self): self.q_ = Queue() # @param x, an integer # @return nothing def push(self, x): self.q_.push(x) for _ in xrange(self.q_.size() - 1): self.q_.push(self.q_.pop()) # @return nothing def pop(self): self.q_.pop() # @return an integer def top(self): return self.q_.peek() # @return an boolean def empty(self): return self.q_.empty()
Python: Time: push: O(1), pop: O(n), top: O(1),Space: O(n)
class Stack: # initialize your data structure here. def __init__(self): self.q_ = Queue() self.top_ = None # @param x, an integer # @return nothing def push(self, x): self.q_.push(x) self.top_ = x # @return nothing def pop(self): for _ in xrange(self.q_.size() - 1): self.top_ = self.q_.pop() self.q_.push(self.top_) self.q_.pop() # @return an integer def top(self): return self.top_ # @return an boolean def empty(self): return self.q_.empty()
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