{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Implementation of Binary Search\n",
    "\n",
    "In this notebook we will just implement two versions of a simple binary search. View the video lecture for a full breakdown!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Binary Search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def binary_search(arr,ele):\n",
    "    \n",
    "    # First and last index values\n",
    "    first = 0\n",
    "    last = len(arr) - 1\n",
    "    \n",
    "    found = False\n",
    "    \n",
    "    \n",
    "    while first <= last and not found:\n",
    "        \n",
    "        mid = (first+last)/2 # or // for Python 3\n",
    "        \n",
    "        # Match found\n",
    "        if arr[mid] == ele:\n",
    "            found = True\n",
    "        \n",
    "        # Set new midpoints up or down depending on comparison\n",
    "        else:\n",
    "            # Set down\n",
    "            if ele < arr[mid]:\n",
    "                last = mid -1\n",
    "            # Set up \n",
    "            else:\n",
    "                first = mid + 1\n",
    "                \n",
    "    return found"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# list must already be sorted!\n",
    "arr = [1,2,3,4,5,6,7,8,9,10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binary_search(arr,4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binary_search(arr,2.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Recursive Version of Binary Search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def rec_bin_search(arr,ele):\n",
    "    \n",
    "    # Base Case!\n",
    "    if len(arr) == 0:\n",
    "        return False\n",
    "    \n",
    "    # Recursive Case\n",
    "    else:\n",
    "        \n",
    "        mid = len(arr)/2\n",
    "        \n",
    "        # If match found\n",
    "        if arr[mid]==ele:\n",
    "            return True\n",
    "        \n",
    "        else:\n",
    "            \n",
    "            # Call again on second half\n",
    "            if ele<arr[mid]:\n",
    "                return rec_bin_search(arr[:mid],ele)\n",
    "            \n",
    "            # Or call on first half\n",
    "            else:\n",
    "                return rec_bin_search(arr[mid+1:],ele)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_bin_search(arr,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_bin_search(arr,15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Good Job!"
   ]
  }
 ],
 "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": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}