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array_queue.py
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80 lines (69 loc) · 2.86 KB
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# Copyright 2013, Michael H. Goldwasser
#
# Developed for use with the book:
#
# Data Structures and Algorithms in Python
# Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser
# John Wiley & Sons, 2013
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from exceptions import Empty
class ArrayQueue:
"""FIFO queue implementation using a Python list as underlying storage."""
DEFAULT_CAPACITY = 10 # moderate capacity for all new queues
def __init__(self):
"""Create an empty queue."""
self._data = [None] * ArrayQueue.DEFAULT_CAPACITY
self._size = 0
self._front = 0
def __len__(self):
"""Return the number of elements in the queue."""
return self._size
def is_empty(self):
"""Return True if the queue is empty."""
return self._size == 0
def first(self):
"""Return (but do not remove) the element at the front of the queue.
Raise Empty exception if the queue is empty.
"""
if self.is_empty():
raise Empty('Queue is empty')
return self._data[self._front]
def dequeue(self):
"""Remove and return the first element of the queue (i.e., FIFO).
Raise Empty exception if the queue is empty.
"""
if self.is_empty():
raise Empty('Queue is empty')
answer = self._data[self._front]
self._data[self._front] = None # help garbage collection
self._front = (self._front + 1) % len(self._data)
self._size -= 1
return answer
def enqueue(self, e):
"""Add an element to the back of queue."""
if self._size == len(self._data):
self._resize(2 * len(self.data)) # double the array size
avail = (self._front + self._size) % len(self._data)
self._data[avail] = e
self._size += 1
def _resize(self, cap): # we assume cap >= len(self)
"""Resize to a new list of capacity >= len(self)."""
old = self._data # keep track of existing list
self._data = [None] * cap # allocate list with new capacity
walk = self._front
for k in range(self._size): # only consider existing elements
self._data[k] = old[walk] # intentionally shift indices
walk = (1 + walk) % len(old) # use old size as modulus
self._front = 0 # front has been realigned