{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Challenge Notebook" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Problem: Implement a queue with enqueue and dequeue methods using a linked list.\n", "\n", "* [Constraints](#Constraints)\n", "* [Test Cases](#Test-Cases)\n", "* [Algorithm](#Algorithm)\n", "* [Code](#Code)\n", "* [Unit Test](#Unit-Test)\n", "* [Pythonic-Code](#Pythonic-Code)\n", "* [Solution Notebook](#Solution-Notebook)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Constraints\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 None?\n", " * Yes\n", "* If you dequeue on an empty queue, does that return None?\n", " * Yes\n", "* Can we assume this fits memory?\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 -> None\n", "* Dequeue a queue with one element\n", "* Dequeue a queue with more than one element" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/stacks_queues/queue_list/queue_list_solution.ipynb). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class Node(object):\n", "\n", " def __init__(self, data):\n", " # TODO: Implement me\n", " pass\n", "\n", "\n", "class Queue(object):\n", "\n", " def __init__(self):\n", " # TODO: Implement me\n", " pass\n", "\n", " def enqueue(self, data):\n", " # TODO: Implement me\n", " pass\n", "\n", " def dequeue(self):\n", " # TODO: Implement me\n", " pass" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unit Test\n", "\n", "\n", "\n", "**The following unit test is expected to fail until you solve the challenge.**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# %load test_queue_list.py\n", "import unittest\n", "\n", "\n", "class TestQueue(unittest.TestCase):\n", "\n", " # TODO: It would be better if we had unit tests for each\n", " # method in addition to the following end-to-end test\n", " def test_end_to_end(self):\n", " print('Test: Dequeue an empty queue')\n", " queue = Queue()\n", " self.assertEqual(queue.dequeue(), None)\n", "\n", " print('Test: Enqueue to an empty queue')\n", " queue.enqueue(1)\n", "\n", " print('Test: Dequeue a queue with one element')\n", " self.assertEqual(queue.dequeue(), 1)\n", "\n", " print('Test: Enqueue to a non-empty queue')\n", " queue.enqueue(2)\n", " queue.enqueue(3)\n", " queue.enqueue(4)\n", "\n", " print('Test: Dequeue a queue with more than one element')\n", " self.assertEqual(queue.dequeue(), 2)\n", " self.assertEqual(queue.dequeue(), 3)\n", " self.assertEqual(queue.dequeue(), 4)\n", "\n", " print('Success: test_end_to_end')\n", "\n", "\n", "def main():\n", " test = TestQueue()\n", " test.test_end_to_end()\n", "\n", "\n", "if __name__ == '__main__':\n", " main()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Solution Notebook\n", "\n", "Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/stacks_queues/queue_list/queue_list_solution.ipynb) for a discussion on algorithms and code solutions." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.2" } }, "nbformat": 4, "nbformat_minor": 1 }