{ "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": [ "# Challenge Notebook" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Problem: Given sorted arrays A, B, merge B into A in sorted order.\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", "* Does A have enough space for B?\n", " * Yes\n", "* Can the inputs have duplicate array items?\n", " * Yes\n", "* Can we assume the inputs are valid?\n", " * No\n", "* Does the inputs also include the actual size of A and B?\n", " * Yes\n", "* Can we assume this fits memory?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "* A or B is None -> Exception\n", "* index of last A or B < 0 -> Exception\n", "* A or B is empty\n", "* General case\n", " * A = [1, 3, 5, 7, 9, None, None, None]\n", " * B = [4, 5, 6]\n", " * A = [1, 3, 4, 5, 5, 6, 7, 9]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "Refer to the [Solution Notebook](http://nbviewer.jupyter.org/github/donnemartin/interactive-coding-challenges/blob/master/sorting_searching/merge_into/merge_into_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": {}, "outputs": [], "source": [ "class Array(object):\n", "\n", " def merge_into(self, source, dest, source_end_index, dest_end_index):\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": {}, "outputs": [], "source": [ "# %load test_merge_into.py\n", "import unittest\n", "\n", "\n", "class TestArray(unittest.TestCase):\n", "\n", " def test_merge_into(self):\n", " array = Array()\n", " self.assertRaises(TypeError, array.merge_into, None, None, None, None)\n", " self.assertRaises(ValueError, array.merge_into, [1], [2], -1, -1)\n", " a = [1, 2, 3]\n", " self.assertEqual(array.merge_into(a, [], len(a), 0), [1, 2, 3])\n", " a = [1, 2, 3]\n", " self.assertEqual(array.merge_into(a, [], len(a), 0), [1, 2, 3])\n", " a = [1, 3, 5, 7, 9, None, None, None]\n", " b = [4, 5, 6]\n", " expected = [1, 3, 4, 5, 5, 6, 7, 9]\n", " self.assertEqual(array.merge_into(a, b, 5, len(b)), expected)\n", " print('Success: test_merge_into')\n", "\n", "\n", "def main():\n", " test = TestArray()\n", " test.test_merge_into()\n", "\n", "\n", "if __name__ == '__main__':\n", " main()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Solution Notebook\n", "\n", "Review the [Solution Notebook]() 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": "3.7.2" } }, "nbformat": 4, "nbformat_minor": 1 }