{ "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: Partition a linked list around a value x, such that all nodes less than x come before all nodes greater than or equal to x.\n", "\n", "* [Constraints](#Constraints)\n", "* [Test Cases](#Test-Cases)\n", "* [Algorithm](#Algorithm)\n", "* [Code](#Code)\n", "* [Unit Test](#Unit-Test)\n", "* [Solution Notebook](#Solution-Notebook)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Constraints\n", "\n", "* Can we create additional data structures?\n", " * Yes\n", "* Do you expect the function to return a new list?\n", " * Yes\n", "* Can we assume the input x is valid?\n", " * Yes\n", "* Can we assume we already have a linked list class that can be used for this problem?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "* Empty list -> []\n", "* One element list -> [element]\n", "* Left linked list is empty\n", "* Right linked list is empty\n", "* General case\n", " * Partition = 10\n", " * Input: 4, 3, 7, 8, 10, 1, 10, 12\n", " * Output: 4, 3, 7, 8, 1, 10, 10, 12" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/linked_lists/partition/partition_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": true }, "outputs": [], "source": [ "%run ../linked_list/linked_list.py\n", "%load ../linked_list/linked_list.py" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "class MyLinkedList(LinkedList):\n", "\n", " def partition(self, data):\n", " # TODO: Implement me\n", " pass" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unit Test" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\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_partition.py\n", "from nose.tools import assert_equal\n", "\n", "\n", "class TestPartition(object):\n", "\n", " def test_partition(self):\n", " print('Test: Empty list')\n", " linked_list = MyLinkedList(None)\n", " linked_list.partition(10)\n", " assert_equal(linked_list.get_all_data(), [])\n", "\n", " print('Test: One element list, left list empty')\n", " linked_list = MyLinkedList(Node(5))\n", " linked_list.partition(0)\n", " assert_equal(linked_list.get_all_data(), [5])\n", "\n", " print('Test: Right list is empty')\n", " linked_list = MyLinkedList(Node(5))\n", " linked_list.partition(10)\n", " assert_equal(linked_list.get_all_data(), [5])\n", "\n", " print('Test: General case')\n", " # Partition = 10\n", " # Input: 4, 3, 7, 8, 10, 1, 10, 12\n", " # Output: 4, 3, 7, 8, 1, 10, 10, 12\n", " linked_list = MyLinkedList(Node(12))\n", " linked_list.insert_to_front(10)\n", " linked_list.insert_to_front(1)\n", " linked_list.insert_to_front(10)\n", " linked_list.insert_to_front(8)\n", " linked_list.insert_to_front(7)\n", " linked_list.insert_to_front(3)\n", " linked_list.insert_to_front(4)\n", " partitioned_list = linked_list.partition(10)\n", " assert_equal(partitioned_list.get_all_data(),\n", " [4, 3, 7, 8, 1, 10, 10, 12])\n", "\n", " print('Success: test_partition')\n", "\n", "\n", "def main():\n", " test = TestPartition()\n", " test.test_partition()\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/linked_lists/partition/partition_solution.ipynb) for a discussion on algorithms and code solutions." ] } ], "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": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }