Renamed HackerRank and TopCoder section to Online Judges.

online_judges/maximizing_xor/maximizing_xor_solution.ipynb

@@ -0,0 +1,177 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<small><i>This notebook was prepared by [Donne Martin](http://donnemartin.com). Source and license info is on [GitHub](https://github.com/donnemartin/coding-challenges).</i></small>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Solution Notebook"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Problem: Maximizing XOR\n",
+    "\n",
+    "See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor).\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",
+    "*Problem statements are sometimes ambiguous.  Identifying constraints and stating assumptions can help to ensure you code the intended solution.*\n",
+    "\n",
+    "See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Test Cases\n",
+    "\n",
+    "See the [HackerRank problem page](https://www.hackerrank.com/challenges/maximizing-xor)."
+   ]
+  },
+  {
+   "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": 1,
+   "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"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Unit Test\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Overwriting test_maximizing_xor.py\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%writefile test_maximizing_xor.py\n",
+    "from nose.tools import assert_equal\n",
+    "\n",
+    "\n",
+    "class TestMaximingXor(object):\n",
+    "\n",
+    "    def test_maximizing_xor(self):\n",
+    "        assert_equal(max_xor(10, 15), 7)\n",
+    "        print('Success: test_maximizing_xor')\n",
+    "\n",
+    "def main():\n",
+    "    test = TestMaximingXor()\n",
+    "    test.test_maximizing_xor()\n",
+    "\n",
+    "if __name__ == '__main__':\n",
+    "    main()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Success: test_maximizing_xor\n"
+     ]
+    }
+   ],
+   "source": [
+    "%run -i test_maximizing_xor.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
+}