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0622_design_circular_queue.py
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# ------------------------------------------------------------------------------
# Question:
# ------------------------------------------------------------------------------
# tags:
'''
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.
Your implementation should support following operations:
MyCircularQueue(k): Constructor, set the size of the queue to be k.
Front: Get the front item from the queue. If the queue is empty, return -1.
Rear: Get the last item from the queue. If the queue is empty, return -1.
enQueue(value): Insert an element into the circular queue. Return true if the operation is successful.
deQueue(): Delete an element from the circular queue. Return true if the operation is successful.
isEmpty(): Checks whether the circular queue is empty or not.
isFull(): Checks whether the circular queue is full or not.
'''
# ------------------------------------------------------------------------------
# Solutions
# ------------------------------------------------------------------------------
import unittest
from typing import *
class Node():
def __init__(self, v):
self.data = v
self.next = None
class MyCircularQueue:
'''
H -> q1
T
'''
def __init__(self, k: int):
"""
Initialize your data structure here. Set the size of the queue to be k.
"""
self.head = None
self.tail = None
self.size = 0
self.maxSize = 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
node = Node(value)
if self.head is None:
self.head = node
self.tail = node
else:
self.tail.next = node
self.tail = node
self.size += 1
return True
def deQueue(self) -> bool:
"""
Delete an element from the circular queue. Return true if the operation is successful.
"""
if not self.head:
return False
self.head = self.head.next
self.size -= 1
if self.head is None:
self.tail = self.head
return True
def Front(self) -> int:
"""
Get the front item from the queue.
"""
if not self.head:
return -1
if self.head:
return self.head.value
def Rear(self) -> int:
"""
Get the last item from the queue.
"""
if not self.tail:
return -1
return self.tail.value
def isEmpty(self) -> bool:
"""
Checks whether the circular queue is empty or not.
"""
if not self.head and not self.tail:
return True
return False
def isFull(self) -> bool:
"""
Checks whether the circular queue is full or not.
"""
if self.maxSize == self.count:
return True
return False
# Your MyCircularQueue object will be instantiated and called as such:
# obj = MyCircularQueue(k)
# param_1 = obj.enQueue(value)
# param_2 = obj.deQueue()
# param_3 = obj.Front()
# param_4 = obj.Rear()
# param_5 = obj.isEmpty()
# param_6 = obj.isFull()
# ------------------------------------------------------------------------------
# Tests
# ------------------------------------------------------------------------------
class TestSolution(unittest.TestCase):
def test_simple(self):
s = Solution()
self.assertEqual(True, True)
unittest.main(verbosity=2)