system-design-primer/solutions/object_oriented_design/lru_cache/lru_cache.ipynb

{
 "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/system-design-primer-primer)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Design an LRU cache"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Constraints and assumptions\n",
    "\n",
    "* What are we caching?\n",
    "    * We are cahing the results of web queries\n",
    "* Can we assume inputs are valid or do we have to validate them?\n",
    "    * Assume they're valid\n",
    "* Can we assume this fits memory?\n",
    "    * Yes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting lru_cache.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile lru_cache.py\n",
    "class Node(object):\n",
    "\n",
    "    def __init__(self, results):\n",
    "        self.results = results\n",
    "        self.prev = None\n",
    "        self.next = None\n",
    "\n",
    "\n",
    "class LinkedList(object):\n",
    "\n",
    "    def __init__(self):\n",
    "        self.head = None\n",
    "        self.tail = None\n",
    "\n",
    "    def move_to_front(self, node):  # ...\n",
    "    def append_to_front(self, node):  # ...\n",
    "    def remove_from_tail(self):  # ...\n",
    "\n",
    "\n",
    "class Cache(object):\n",
    "\n",
    "    def __init__(self, MAX_SIZE):\n",
    "        self.MAX_SIZE = MAX_SIZE\n",
    "        self.size = 0\n",
    "        self.lookup = {}  # key: query, value: node\n",
    "        self.linked_list = LinkedList()\n",
    "\n",
    "    def get(self, query)\n",
    "        \"\"\"Get the stored query result from the cache.\n",
    "        \n",
    "        Accessing a node updates its position to the front of the LRU list.\n",
    "        \"\"\"\n",
    "        node = self.lookup[query]\n",
    "        if node is None:\n",
    "            return None\n",
    "        self.linked_list.move_to_front(node)\n",
    "        return node.results\n",
    "\n",
    "    def set(self, results, query):\n",
    "        \"\"\"Set the result for the given query key in the cache.\n",
    "        \n",
    "        When updating an entry, updates its position to the front of the LRU list.\n",
    "        If the entry is new and the cache is at capacity, removes the oldest entry\n",
    "        before the new entry is added.\n",
    "        \"\"\"\n",
    "        node = self.lookup[query]\n",
    "        if node is not None:\n",
    "            # Key exists in cache, update the value\n",
    "            node.results = results\n",
    "            self.linked_list.move_to_front(node)\n",
    "        else:\n",
    "            # Key does not exist in cache\n",
    "            if self.size == self.MAX_SIZE:\n",
    "                # Remove the oldest entry from the linked list and lookup\n",
    "                self.lookup.pop(self.linked_list.tail.query, None)\n",
    "                self.linked_list.remove_from_tail()\n",
    "            else:\n",
    "                self.size += 1\n",
    "            # Add the new key and value\n",
    "            new_node = Node(results)\n",
    "            self.linked_list.append_to_front(new_node)\n",
    "            self.lookup[query] = new_node"
   ]
  }
 ],
 "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": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}