{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook was prepared by [Donne Martin](https://github.com/donnemartin). 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: Find the second largest node in a binary search tree.\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", "* If this is called on a None input or a single node, should we raise an exception?\n", " * Yes\n", " * None -> TypeError\n", " * Single node -> ValueError\n", "* Can we assume we already have a Node class with an insert method?\n", " * Yes\n", "* Can we assume this fits memory?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "* None or single node -> Exception\n", "\n", "
\n",
    "Input:\n",
    "                _10_\n",
    "              _/    \\_          \n",
    "             5        15\n",
    "            / \\       / \\\n",
    "           3   8     12  20\n",
    "          /     \\         \\\n",
    "         2       4        30\n",
    "\n",
    "Output: 20\n",
    "\n",
    "Input:\n",
    "                 10\n",
    "                 /  \n",
    "                5\n",
    "               / \\\n",
    "              3   7\n",
    "Output: 7\n",
    "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/bst_second_largest/bst_second_largest_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 ../bst/bst.py\n", "%load ../bst/bst.py" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class Solution(Bst):\n", "\n", " def find_second_largest(self):\n", " # TODO: Implement me\n", " pass" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unit Test" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**The following unit test is expected to fail until you solve the challenge.**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# %load test_bst_second_largest.py\n", "import unittest\n", "\n", "\n", "class TestBstSecondLargest(unittest.TestCase):\n", "\n", " def test_bst_second_largest(self):\n", " bst = Solution(None)\n", " self.assertRaises(TypeError, bst.find_second_largest)\n", " root = Node(10)\n", " bst = Solution(root)\n", " node5 = bst.insert(5)\n", " node15 = bst.insert(15)\n", " node3 = bst.insert(3)\n", " node8 = bst.insert(8)\n", " node12 = bst.insert(12)\n", " node20 = bst.insert(20)\n", " node2 = bst.insert(2)\n", " node4 = bst.insert(4)\n", " node30 = bst.insert(30)\n", " self.assertEqual(bst.find_second_largest(), node20)\n", " root = Node(10)\n", " bst = Solution(root)\n", " node5 = bst.insert(5)\n", " node3 = bst.insert(3)\n", " node7 = bst.insert(7)\n", " self.assertEqual(bst.find_second_largest(), node7)\n", " print('Success: test_bst_second_largest')\n", "\n", "\n", "def main():\n", " test = TestBstSecondLargest()\n", " test.test_bst_second_largest()\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/graphs_trees/check_balance/check_balance_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 }