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622-Design-Circular-Queue.py
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622-Design-Circular-Queue.py
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"""
Design your implementation of the circular queue. The circular queue is a linear data structure
in which the operations are performed based on FIFO (First In First Out) principle
and the last position is connected back to the first position to make a circle. It is also called "Ring Buffer".
One of the benefits of the circular queue is that we can make use of the spaces in front of the queue.
In a normal queue, once the queue becomes full, we cannot insert the next element
even if there is a space in front of the queue. But using the circular queue, we can use the space to store new values.
link - https://leetcode.com/problems/design-circular-queue/
runtime - 72ms
memory - 14.6 mb
time complexity - O(n)
space complexity - O(n)
"""
class MyCircularQueue:
def __init__(self, k: int):
"""
Initialize your data structure here. Set the size of the queue to be k.
"""
self.queue = [None] *k
self.head = 0
self.tail = -1
self.size = 0
self.max_size = k
def enQueue(self, value: int) -> bool:
"""
Insert an element into the circular queue. Return true if the operation is successful.
"""
if self.isFull():
return False
self.tail = (self.tail +1) % self.max_size
self.queue[self.tail] = value
self.size += 1
return True
def deQueue(self) -> bool:
"""
Delete an element from the circular queue. Return true if the operation is successful.
"""
if self.isEmpty():
return False
self.queue[self.head] = None
self.head = (self.head +1) % self.max_size
self.size -= 1
return True
def Front(self) -> int:
"""
Get the front item from the queue.
"""
return -1 if self.isEmpty() else self.queue[self.head]
def Rear(self) -> int:
"""
Get the last item from the queue.
"""
return -1 if self.isEmpty() else self.queue[self.tail]
def isEmpty(self) -> bool:
"""
Checks whether the circular queue is empty or not.
"""
return self.size == 0
def isFull(self) -> bool:
"""
Checks whether the circular queue is full or not.
"""
return self.size == self.max_size