{ "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: Remove duplicates from a linked list\n", "\n", "* [Clarifying Questions](#Clarifying-Questions)\n", "* [Test Cases](#Test-Cases)\n", "* [Algorithm: Hash Map Lookup](#Algorithm:-Hash-Map-Lookup)\n", "* [Code: Hash Map Lookup](#Code:-Hash-Map-Lookup)\n", "* [Algorithm: In-Place](#Algorithm:-In-Place)\n", "* [Code: In-Place](#Code:-In-Place)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Clarifying Questions\n", "\n", "* Is this a singly or doubly linked list?\n", " * Singly\n", "* Can you insert NULL values in the list?\n", " * No\n", "* Can you use additional data structures?\n", " * Implement both solutions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "* Empty linked list\n", "* One element linked list\n", "* Multiple elements\n", "* No duplicates\n", "* One or more duplicates" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm: Hash Map Lookup\n", "\n", "* For each node\n", " * If the node's value is in the hash map\n", " * Delete the node\n", " * Else\n", " * Add node's value to the hash map\n", "\n", "Complexity:\n", "* Time: O(n)\n", "* Space: O(m) where m is the number of values in the hash map\n", "\n", "Note:\n", "* Deletion requires two pointers, one to the previous node and one to the current node" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code: Hash Map Lookup" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%run linked_list.py" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "class MyLinkedList(LinkedList):\n", " def remove_dupes(self):\n", " seen_data = set()\n", " curr = self.head\n", " prev = None\n", " while curr is not None:\n", " if curr.data in seen_data:\n", " prev.next = curr.next\n", " else:\n", " seen_data.add(curr.data)\n", " prev = curr\n", " curr = curr.next" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# Empty linked list\n", "linked_list = MyLinkedList(None)\n", "linked_list.remove_dupes()\n", "linked_list.print_list()\n", "# One element linked list\n", "head = Node(2)\n", "linked_list = MyLinkedList(head)\n", "linked_list.remove_dupes()\n", "linked_list.print_list()\n", "# Multiple elements\n", "# One or more duplicates\n", "linked_list.insert_to_front(1)\n", "linked_list.insert_to_front(3)\n", "linked_list.insert_to_front(1)\n", "linked_list.insert_to_front(1)\n", "linked_list.remove_dupes()\n", "linked_list.print_list()\n", "# No duplicates\n", "linked_list.remove_dupes()\n", "linked_list.print_list()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm: In-Place\n", "\n", "* For each node\n", " * Compare node with every other node\n", " * If the node's value is in the hash map\n", " * Delete the node\n", " * Else\n", " * Add node's value to the hash map\n", "\n", "Complexity:\n", "* Time: O(n^2)\n", "* Space: In-place\n", "\n", "Note:\n", "* Deletion requires two pointers, one to the previous node and one to the current node\n", "* We'll need to use a 'runner' to check every other node and compare it to the current node" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code: In-Place" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "class MyLinkedList(LinkedList):\n", " \n", " def remove_dupes(self):\n", " curr = self.head\n", " while curr is not None:\n", " runner = curr\n", " while runner.next is not None:\n", " if runner.next.data == curr.data:\n", " runner.next = runner.next.next\n", " else:\n", " runner = runner.next\n", " curr = curr.next" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Empty linked list\n", "linked_list = MyLinkedList(None)\n", "linked_list.remove_dupes()\n", "linked_list.print_list()\n", "# One element linked list\n", "head = Node(2)\n", "linked_list = MyLinkedList(head)\n", "linked_list.remove_dupes()\n", "linked_list.print_list()\n", "# Multiple elements\n", "# One or more duplicates\n", "linked_list.insert_to_front(1)\n", "linked_list.insert_to_front(3)\n", "linked_list.insert_to_front(1)\n", "linked_list.insert_to_front(1)\n", "linked_list.remove_dupes()\n", "linked_list.print_list()\n", "# No duplicates\n", "linked_list.remove_dupes()\n", "linked_list.print_list()" ] } ], "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, 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