{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://bit.ly/code-notes)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Problem: Maximizing XOR\n", "\n", "From HackerRank: https://www.hackerrank.com/challenges/maximizing-xor\n", "\n", "* [Algorithm](#Algorithm)\n", "* [Code](#Code)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "* Set max to 0\n", "* For i in the range (lower, upper) inclusive\n", " * For j in the range (lower, upper) inclusive\n", " * Compare i ^ j with max, update max if needed\n", "* return max\n", "\n", "Complexity:\n", "* Time: O(n^2)\n", "* Space: O(1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def max_xor(lower, upper):\n", " result = 0\n", " for l in xrange(lower, upper + 1):\n", " for u in xrange(lower, upper + 1):\n", " curr = l ^ u\n", " if result < curr:\n", " result = curr\n", " return result\n", "\n", "lower = int(raw_input());\n", "upper = int(raw_input());\n", "\n", "result = max_xor(lower, upper);\n", "print(result)" ] } ], "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 }