{ "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: Find an element in a sorted array that has been rotated a number of times.\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 input an array of ints?\n", " * Yes\n", "* Can the input have duplicates?\n", " * Yes\n", "* Do we know how many times the array was rotated?\n", " * No\n", "* Was the array originally sorted in increasing or decreasing order?\n", " * Increasing\n", "* For the output, do we return the index?\n", " * Yes\n", "* Can we assume the inputs are valid?\n", " * No\n", "* Can we assume this fits memory?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "* None -> Exception\n", "* [] -> None\n", "* Not found -> None\n", "* General case with duplicates\n", "* General case without duplicates" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "### General case without dupes\n", "\n", "
\n",
    "\n",
    "index                   0   1   2   3   4   5   6   7   8   9\n",
    "input                 [ 1,  3,  5,  6,  7,  8,  9, 10, 12, 14]\n",
    "input rotated 1x      [10, 12, 14,  1,  3,  5,  6,  7,  8,  9]\n",
    "input rotated 2x      [ 5,  6,  7,  8,  9, 10, 12, 14,  1,  3]\n",
    "input rotated 3x      [10, 12, 14,  1,  3,  5,  6,  7,  8,  9]\n",
    "\n",
    "find 1\n",
    "len = 10\n",
    "mid = 10 // 2 = 5\n",
    "                        s                   m               e\n",
    "index                   0   1   2   3   4   5   6   7   8   9\n",
    "input                 [10, 12, 14,  1,  3,  5,  6,  7,  8,  9]\n",
    "\n",
    "input[start] > input[mid]: Left half is rotated\n",
    "input[end] >= input[mid]: Right half is sorted\n",
    "1 is not within input[mid+1] to input[end] on the right side, go left\n",
    "\n",
    "                        s       m       e\n",
    "index                   0   1   2   3   4   5   6   7   8   9\n",
    "input                 [10, 12, 14,  1,  3,  5,  6,  7,  8,  9]\n",
    "\n",
    "input[start] <= input[mid]: Right half is rotated\n",
    "input[end] >= input[mid]: Left half is sorted\n",
    "1 is not within input[left] to input[mid-1] on the left side, go right\n",
    "\n",
    "
\n", "\n", "### General case with dupes\n", "\n", "
\n",
    "\n",
    "                        s                   m               e\n",
    "index                   0   1   2   3   4   5   6   7   8   9\n",
    "input                 [ 1,  1,  1,  1,  1,  1,  1,  1,  1,  2]\n",
    "\n",
    "input[start] == input[mid], input[mid] != input[end], go right\n",
    "\n",
    "input rotated 1x      [ 1,  1,  2,  1,  1,  1,  1,  1,  1,  1]\n",
    "\n",
    "input[start] == input[mid] == input[end], search both sides\n",
    "\n",
    "
\n", "\n", "Complexity:\n", "* Time: O(log n) if there are no duplicates, else O(n)\n", "* Space: O(m), where m is the recursion depth" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "class Array(object):\n", "\n", " def search_sorted_array(self, array, val):\n", " if array is None or val is None:\n", " raise TypeError('array or val cannot be None')\n", " if not array:\n", " return None\n", " return self._search_sorted_array(array, val, start=0, end=len(array) - 1)\n", "\n", " def _search_sorted_array(self, array, val, start, end):\n", " if end < start:\n", " return None\n", " mid = (start + end) // 2\n", " if array[mid] == val:\n", " return mid\n", " # Left side is sorted\n", " if array[start] < array[mid]:\n", " if array[start] <= val < array[mid]:\n", " return self._search_sorted_array(array, val, start, mid - 1)\n", " else:\n", " return self._search_sorted_array(array, val, mid + 1, end)\n", " # Right side is sorted\n", " elif array[start] > array[mid]:\n", " if array[mid] < val <= array[end]:\n", " return self._search_sorted_array(array, val, mid + 1, end)\n", " else:\n", " return self._search_sorted_array(array, val, start, mid - 1)\n", " # Duplicates\n", " else:\n", " if array[mid] != array[end]:\n", " return self._search_sorted_array(array, val, mid + 1, end)\n", " else:\n", " result = self._search_sorted_array(array, val, start, mid - 1)\n", " if result != None:\n", " return result\n", " else:\n", " return self._search_sorted_array(array, val, mid + 1, end)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unit Test" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Overwriting test_search_sorted_array.py\n" ] } ], "source": [ "%%writefile test_search_sorted_array.py\n", "import unittest\n", "\n", "\n", "class TestArray(unittest.TestCase):\n", "\n", " def test_search_sorted_array(self):\n", " array = Array()\n", " self.assertRaises(TypeError, array.search_sorted_array, None)\n", " self.assertEqual(array.search_sorted_array([3, 1, 2], 0), None)\n", " self.assertEqual(array.search_sorted_array([3, 1, 2], 0), None)\n", " data = [10, 12, 14, 1, 3, 5, 6, 7, 8, 9]\n", " self.assertEqual(array.search_sorted_array(data, val=1), 3)\n", " data = [ 1, 1, 2, 1, 1, 1, 1, 1, 1, 1]\n", " self.assertEqual(array.search_sorted_array(data, val=2), 2)\n", " print('Success: test_search_sorted_array')\n", "\n", "\n", "def main():\n", " test = TestArray()\n", " test.test_search_sorted_array()\n", "\n", "\n", "if __name__ == '__main__':\n", " main()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Success: test_search_sorted_array\n" ] } ], "source": [ "%run -i test_search_sorted_array.py" ] } ], "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 }