{ "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": [ "# Solution Notebook" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Problem: Implement breadth-first search on a graph.\n", "\n", "* [Constraints](#Constraints)\n", "* [Test Cases](#Test-Cases)\n", "* [Algorithm](#Algorithm)\n", "* [Code](#Code)\n", "* [Unit Test](#Unit-Test)" ] }, { "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" ] }, { "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", "* Order of nodes visited: [0, 1, 4, 5, 3, 2]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "We generally use breadth-first search to determine the shortest path.\n", "\n", "* Add the current node to the queue and mark it as visited\n", "* While the queue is not empty\n", " * Dequeue a node and visit it\n", " * Iterate through each adjacent node\n", " * If the node has not been visited, add it to the queue and mark it as visited\n", "\n", "Complexity:\n", "* Time: O(V + E), where V = number of vertices and E = number of edges\n", "* Space: O(V + E)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%run ../graph/graph.py" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from collections import deque\n", "\n", "\n", "def bfs(root, visit_func):\n", " if root is None:\n", " return\n", " queue = deque()\n", " queue.append(root)\n", " root.visit_state = State.visited\n", " while queue:\n", " node = queue.popleft()\n", " visit_func(node)\n", " for adjacent_node in node.adjacent:\n", " if adjacent_node.visit_state == State.unvisited:\n", " queue.append(adjacent_node)\n", " adjacent_node.visit_state = State.visited" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unit Test" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%run ../utils/results.py" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Overwriting test_bfs.py\n" ] } ], "source": [ "%%writefile test_bfs.py\n", "from nose.tools import assert_equal\n", "\n", "\n", "class TestBfs(object):\n", "\n", " def __init__(self):\n", " self.results = Results()\n", "\n", " def test_bfs(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", " bfs(nodes[0], self.results.add_result)\n", " assert_equal(str(self.results), \"[0, 1, 4, 5, 3, 2]\")\n", "\n", " print('Success: test_bfs')\n", "\n", "\n", "def main():\n", " test = TestBfs()\n", " test.test_bfs()\n", "\n", "\n", "if __name__ == '__main__':\n", " main()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Success: test_bfs\n" ] } ], "source": [ "%run -i test_bfs.py" ] } ], "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 }