{ "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
}