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implement-stack-using-queues.py
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implement-stack-using-queues.py
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# Time: push: O(n), pop: O(1), top: O(1)
# Space: O(n)
#
# 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 must use only standard operations of a queue -- which
# means only push to back, peek/pop from front, size, and is
# empty operations are valid.
# 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.
# You may assume that all operations are valid (for example, no pop
# or top operations will be called on an empty stack).
#
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()
# Time: push: O(1), pop: O(n), top: O(1)
# Space: O(n)
class Stack2:
# 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()