{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Problem: Implement a queue with enqueue and dequeue methods using a linked list.\n", "\n", "* [Clarifying Questions](#Clarifying-Questions)\n", "* [Test Cases](#Test-Cases)\n", "* [Algorithm](#Algorithm)\n", "* [Code](#Code)\n", "* [Pythonic-Code](#Pythonic-Code)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Clarifying Questions\n", "\n", "* If there is one item in the list, do you expect the first and last pointers to both point to it?\n", " * Yes\n", "* If there are no items on the list, do you expect the first and last pointers to be NULL?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "### Enqueue\n", "\n", "* Enqueue to an empty queue\n", "* Enqueue to a non-empty queue\n", "\n", "### Dequeue\n", "\n", "* Dequeue an empty queue\n", "* Dequeue a queue with one element\n", "* Dequeue a queue with more than one element" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "### Enqueue\n", "\n", "* If the list is empty, set first and last to node\n", "* Else, set last to node\n", "\n", "Complexity:\n", "* Time: O(1)\n", "* Space: O(1)\n", "\n", "### Dequeue\n", "\n", "* If the list is empty, return NULL\n", "* If the list has one node\n", " * Save the first node's value\n", " * Set first and last to NULL\n", " * Return the saved value\n", "* Else\n", " * Save the first node's value\n", " * Set first to its next node\n", " * Return the saved value\n", "\n", "Complexity:\n", "* Time: O(1)\n", "* Space: O(1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%%writefile queue_list.py\n", "# Need to avoid naming this queue.py as it will conflict with IPython Notebook\n", "\n", "class Node(object):\n", " def __init__(self, data):\n", " self.data = data\n", " self.next = None\n", "\n", "class Queue(object):\n", " def __init__(self):\n", " self.first = None\n", " self.last = None\n", "\n", " def enqueue(self, data):\n", " node = Node(data)\n", " if self.first is None and self.last is None:\n", " self.first = node\n", " self.last = node\n", " else:\n", " self.last.next = node\n", " self.last = node\n", "\n", " def dequeue(self):\n", " # Empty list\n", " if self.first is None and self.last is None:\n", " return None\n", " # Remove only element from a one element list\n", " elif self.first == self.last:\n", " data = self.first.data\n", " self.first = None\n", " self.last = None\n", " return data\n", " else:\n", " data = self.first.data\n", " self.first = self.first.next\n", " return data" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%run queue_list.py" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "print('Dequeue an empty queue')\n", "queue = Queue()\n", "print(queue.dequeue())\n", "print('Enqueue to an empty queue')\n", "queue.enqueue(1)\n", "print('Dequeue a queue with one element')\n", "print(queue.dequeue())\n", "print('Enqueue to a non-empty queue')\n", "queue.enqueue(2)\n", "queue.enqueue(3)\n", "queue.enqueue(4)\n", "print('Dequeue a queue with more than one element')\n", "print(queue.dequeue())\n", "print(queue.dequeue())\n", "print(queue.dequeue())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Pythonic-Code" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Source: https://docs.python.org/2/tutorial/datastructures.html#using-lists-as-queues\n", "
\n",
    "It is possible to use a list as a queue, where the first element added is the first element retrieved (“first-in, first-out”); however, lists are not efficient for this purpose. While appends and pops from the end of list are fast, doing inserts or pops from the beginning of a list is slow (because all of the other elements have to be shifted by one).\n",
    "\n",
    "To implement a queue, use collections.deque which was designed to have fast appends and pops from both ends. For example:\n",
    "\n",
    ">>>\n",
    ">>> from collections import deque\n",
    ">>> queue = deque([\"Eric\", \"John\", \"Michael\"])\n",
    ">>> queue.append(\"Terry\")           # Terry arrives\n",
    ">>> queue.append(\"Graham\")          # Graham arrives\n",
    ">>> queue.popleft()                 # The first to arrive now leaves\n",
    "'Eric'\n",
    ">>> queue.popleft()                 # The second to arrive now leaves\n",
    "'John'\n",
    ">>> queue                           # Remaining queue in order of arrival\n",
    "deque(['Michael', 'Terry', 'Graham'])\n",
    "
" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.9" } }, "nbformat": 4, "nbformat_minor": 0 }