标签:算法与数据结构
#!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Created on 2015-2-2
@author: beyondzhou
@name: test_arryqueue.py
'''
def test_arryqueue():
# import pyListQueue
from myqueue import arrayQueue
print '#Init a queue named smith using enqueue'
smith = arrayQueue(4)
smith.enqueue('CSCI-112')
smith.enqueue('MATH-121')
smith.enqueue('HIST-340')
smith.enqueue('ECON-101')
print '\n#output smith queue'
for element in smith:
print element
print '\n#dequeue one item'
smith.dequeue()
print '\n#output smith after dequeue'
for element in smith:
print element
smith.enqueue('ECON-102')
print '\n#output smith after enqueue again'
for element in smith:
print element
print '\n#get the length of queue'
print 'the lenght of queue is ', len(smith)
print '\n#check wheter the queue is empty'
if smith.isEmpty():
print 'queue is empty!'
else:
print 'queue is not empty!'
print '\n#dequeue all items'
while not smith.isEmpty():
smith.dequeue()
print '\n#check wheter the queue is empty after dequeue all items'
if smith.isEmpty():
print 'queue is empty!'
else:
print 'queue is not empty!'
print '\n#init again'
smith.enqueue('CSCI-112')
smith.enqueue('MATH-121')
smith.enqueue('HIST-340')
smith.enqueue('ECON-101')
print '\n#output smith queue'
for element in smith:
print element
if __name__ == "__main__":
test_arryqueue()# Implementation of the Queue ADT using a circular array
class _ArrayQueueIterator:
def __init__(self, theArray, front, count):
self._arrayRef = theArray
self._curNdx = front
self._count = count
self._index = 0
def __iter__(self):
return self
def next(self):
if self._index < self._count:
entry = self._arrayRef[self._curNdx]
self._curNdx = (self._curNdx+1) % len(self._arrayRef)
self._index = self._index + 1
return entry
else:
raise StopIteration
from myarray import Array
class arrayQueue:
# Creates an empty queue
def __init__(self, maxSize):
self._count = 0
self._front = 0
self._back = maxSize - 1
self._qArray = Array(maxSize)
# Returns True if the queue is empty
def isEmpty(self):
return self._count == 0
# Returns True if the queue is full
def isFull(self):
return self._count == len(self._qArray)
# Returns the number of items in the queue
def __len__(self):
return self._count
# Adds the given item to the queue
def enqueue(self, item):
assert not self.isFull(), "Cannot enqueue to a full queue."
maxSize = len(self._qArray)
self._back = (self._back + 1) % maxSize
self._qArray[self._back] = item
self._count += 1
# Removes and returns the first item in the queue
def dequeue(self):
assert not self.isEmpty(), "Cannot dequeue from an empty queue."
item = self._qArray[self._front]
maxSize = len(self._qArray)
self._front = (self._front + 1) % maxSize
self._count -= 1
return item
# Returns the array queue's iterator for traversing the elements
def __iter__(self):
return _ArrayQueueIterator(self._qArray, self._front, self._count)#Init a queue named smith using enqueue #output smith queue CSCI-112 MATH-121 HIST-340 ECON-101 #dequeue one item #output smith after dequeue MATH-121 HIST-340 ECON-101 #output smith after enqueue again MATH-121 HIST-340 ECON-101 ECON-102 #get the length of queue the lenght of queue is 4 #check wheter the queue is empty queue is not empty! #dequeue all items #check wheter the queue is empty after dequeue all items queue is empty! #init again #output smith queue CSCI-112 MATH-121 HIST-340 ECON-101
Python 使用循环数组实现队列 (基于class, 包含迭代器)
标签:算法与数据结构
原文地址:http://blog.csdn.net/guaguastd/article/details/43411841