{ "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 stack with push, pop, peek, and is_empty 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 we pop on an empty stack, do we return None?\n", " * Yes\n", "* Can we assume this fits memory?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "### Push\n", "\n", "* Push to empty stack\n", "* Push to non-empty stack\n", "\n", "### Pop\n", "\n", "* Pop on empty stack\n", "* Pop on single element stack\n", "* Pop on multiple element stack\n", "\n", "### Peek\n", "\n", "* Peek on empty stack\n", "* Peek on one or more element stack\n", "\n", "### Is Empty\n", "\n", "* Is empty on empty stack\n", "* Is empty on one or more element stack" ] }, { "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/stack/stack_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": { "collapsed": false }, "outputs": [], "source": [ "class Node(object):\n", "\n", " def __init__(self, data):\n", " # TODO: Implement me\n", " pass\n", "\n", "\n", "class Stack(object):\n", "\n", " def __init__(self, top=None):\n", " # TODO: Implement me\n", " pass\n", "\n", " def push(self, data):\n", " # TODO: Implement me\n", " pass\n", "\n", " def pop(self):\n", " # TODO: Implement me\n", " pass\n", "\n", " def peek(self):\n", " # TODO: Implement me\n", " pass\n", "\n", " def is_empty(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": { "collapsed": false }, "outputs": [], "source": [ "# %load test_stack.py\n", "from nose.tools import assert_equal\n", "\n", "\n", "class TestStack(object):\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: Empty stack')\n", " stack = Stack()\n", " assert_equal(stack.peek(), None)\n", " assert_equal(stack.pop(), None)\n", "\n", " print('Test: One element')\n", " top = Node(5)\n", " stack = Stack(top)\n", " assert_equal(stack.pop(), 5)\n", " assert_equal(stack.peek(), None)\n", "\n", " print('Test: More than one element')\n", " stack = Stack()\n", " stack.push(1)\n", " stack.push(2)\n", " stack.push(3)\n", " assert_equal(stack.pop(), 3)\n", " assert_equal(stack.peek(), 2)\n", " assert_equal(stack.pop(), 2)\n", " assert_equal(stack.peek(), 1)\n", " assert_equal(stack.is_empty(), False)\n", " assert_equal(stack.pop(), 1)\n", " assert_equal(stack.peek(), None)\n", " assert_equal(stack.is_empty(), True)\n", "\n", " print('Success: test_end_to_end')\n", "\n", "\n", "def main():\n", " test = TestStack()\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/stack/stack_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": "3.5.0" } }, "nbformat": 4, "nbformat_minor": 0 }