{ "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: Sort a stack. You can use another stack as a buffer.\n", "\n", "* [Constraints and Assumptions](#Constraints-and-Assumptions)\n", "* [Test Cases](#Test-Cases)\n", "* [Algorithm](#Algorithm)\n", "* [Code](#Code)\n", "* [Unit Test](#Unit-Test)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Constraints and Assumptions\n", "\n", "*Problem statements are often intentionally ambiguous. Identifying constraints and stating assumptions can help to ensure you code the intended solution.*\n", "\n", "* When sorted, should the largest element be at the top or bottom?\n", " * Top\n", "* Can you have duplicate values like 5, 5?\n", " * Yes\n", "* Can we assume we already have a stack class that can be used for this problem?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "* Empty stack\n", "* One element stack\n", "* Two or more element stack (general case)\n", "* Already sorted stack" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "* Our buffer will hold elements in reverse sorted order, smallest at the top\n", "* Store the current top element in a temp variable\n", "* While stack is not empty\n", " * While buffer is empty or buffer top is > than temp\n", " * Move buffer top to stack\n", " * Move temp to top of buffer\n", "* Return buffer\n", "\n", "Complexity:\n", "* Time: O(n^2)\n", "* Space: O(n)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%run stack.py" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "class MyStack(Stack):\n", " def sort(self):\n", " buff = MyStack()\n", " while not self.is_empty():\n", " temp = self.pop()\n", " while not buff.is_empty() and buff.peek() > temp:\n", " self.push(buff.pop())\n", " buff.push(temp)\n", " return buff" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unit Test\n", "\n", "*It is important to identify and run through general and edge cases from the [Test Cases](#Test-Cases) section by hand. You generally will not be asked to write a unit test like what is shown below.*" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Test: Empty stack\n", "Test: One element stack\n", "Test: Two or more element stack (general case)\n", "Success: test_sort_stack\n" ] } ], "source": [ "from random import randint\n", "from nose.tools import assert_equal\n", "\n", "class Test(object):\n", " def get_sorted_stack(self, numbers):\n", " stack = MyStack()\n", " for x in numbers:\n", " stack.push(x)\n", " sorted_stack = stack.sort()\n", " return sorted_stack\n", "\n", " def test_sort_stack(self):\n", " print('Test: Empty stack')\n", " sorted_stack = self.get_sorted_stack([])\n", " assert_equal(sorted_stack.pop(), None)\n", "\n", " print('Test: One element stack')\n", " sorted_stack = self.get_sorted_stack([1])\n", " assert_equal(sorted_stack.pop(), 1)\n", "\n", " print('Test: Two or more element stack (general case)')\n", " num_items = 10\n", " numbers = [randint(0, 10) for x in xrange(num_items)]\n", " sorted_stack = self.get_sorted_stack(numbers)\n", " sorted_numbers = []\n", " for _ in xrange(num_items):\n", " sorted_numbers.append(sorted_stack.pop())\n", " assert_equal(sorted_numbers, sorted(numbers, reverse=True))\n", " \n", " print('Success: test_sort_stack')\n", "\n", "if __name__ == '__main__':\n", " test = Test()\n", " test.test_sort_stack()" ] } ], "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 }