interactive-coding-challenges/graphs_trees/graph_path_exists/path_exists_challenge.ipynb

204 lines
4.9 KiB
Python
Raw Normal View History

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<small><i>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).</i></small>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Challenge Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem: Determine whether there is a path between two nodes in a graph.\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",
"* Is the graph directed?\n",
" * Yes\n",
"* Can we assume we already have Graph and Node classes?\n",
" * Yes\n",
"* Can we assume the inputs are valid?\n",
" * Yes\n",
"* Can we assume this fits memory?\n",
" * Yes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test Cases\n",
"\n",
"Input:\n",
"* `add_edge(source, destination, weight)`\n",
"\n",
"```\n",
"graph.add_edge(0, 1, 5)\n",
"graph.add_edge(0, 4, 3)\n",
"graph.add_edge(0, 5, 2)\n",
"graph.add_edge(1, 3, 5)\n",
"graph.add_edge(1, 4, 4)\n",
"graph.add_edge(2, 1, 6)\n",
"graph.add_edge(3, 2, 7)\n",
"graph.add_edge(3, 4, 8)\n",
"```\n",
"\n",
"Result:\n",
"* search_path(start=0, end=2) -> True\n",
"* search_path(start=0, end=0) -> True\n",
"* search_path(start=4, end=5) -> False"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Algorithm\n",
"\n",
2015-08-05 17:49:41 +08:00
"Refer to the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/graph_path_exists/path_exists_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 ../graph/graph.py\n",
"%load ../graph/graph.py"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def path_exists(start, end):\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": {
"collapsed": false
},
"outputs": [],
"source": [
"# %load test_path_exists.py\n",
"from nose.tools import assert_equal\n",
"\n",
"\n",
"class TestPathExists(object):\n",
"\n",
" def test_path_exists(self):\n",
" nodes = []\n",
" graph = Graph()\n",
" for id in range(0, 6):\n",
" nodes.append(graph.add_node(id))\n",
" graph.add_edge(0, 1, 5)\n",
" graph.add_edge(0, 4, 3)\n",
" graph.add_edge(0, 5, 2)\n",
" graph.add_edge(1, 3, 5)\n",
" graph.add_edge(1, 4, 4)\n",
" graph.add_edge(2, 1, 6)\n",
" graph.add_edge(3, 2, 7)\n",
" graph.add_edge(3, 4, 8)\n",
"\n",
" assert_equal(path_exists(nodes[0], nodes[2]), True)\n",
" assert_equal(path_exists(nodes[0], nodes[0]), True)\n",
" assert_equal(path_exists(nodes[4], nodes[5]), False)\n",
"\n",
" print('Success: test_path_exists')\n",
"\n",
"\n",
"def main():\n",
" test = TestPathExists()\n",
" test.test_path_exists()\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" main()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Solution Notebook\n",
"\n",
2015-08-05 17:49:41 +08:00
"Review the [Solution Notebook](http://nbviewer.ipython.org/github/donnemartin/interactive-coding-challenges/blob/master/graphs_trees/graph_path_exists/path_exists_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
}