search.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "# The search.py module"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Introduction\n",
    "============\n",
    "\n",
    "Hello!\n",
    "In this IPython notebook, we'll study different kinds of search techniques used in [ search.py ]( https://github.com/aimacode/aima-python/blob/master/search.py ) and try to get an intuition of what search algorithms are best suited for various problems. We first explore uninformed search algorithms and later get our hands on heuristic search strategies.\n",
    "\n",
    "The code in this IPython notebook, and the entire `aima-python` repository is intended to work with Python 3 (specifically, Python 3.4). So if you happen to be working on Python 2, you should switch to Python 3. For more help on how to install python3, or if you are having other problems, you can always have a look the `intro` IPython notebook. \n",
    "\n",
    "Now that you have all that sorted out, let's get started!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Uninformed Search Strategies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Uninformed Search strategies are called `blind search`. In such search strategies, the only information we have about any state is generated by checking if a piece of data, or any of its successors, matches our `goal state` or not. THAT'S IT. NOTHING MORE. (Well ....not really. See the `value` method defined in the following section).\n",
    "\n",
    "First let's formulate the problem we intend to solve. So let's import everything from our module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "from search import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The search and other modules of the repository make use of several imports from the utils module. We will point the useful ones out if they are required to follow the material below. Don't worry. You don't need to read utils.py in order to understand search algorithms.\n",
    "    \n",
    "The `Problem` class is an abstract class on which we define our problems(*duh*).\n",
    "Again, if you are confused about what `abstract class` means have a look at the `Intro` notebook.\n",
    "The `Problem` class has six methods.\n",
    "* `__init__(self, initial, goal)` : This is what is called a `constructor` and is the first method called when you create an instance of class. In this and all of the below methods `self` refers to the object itself--the object whose method is called. `initial` specifies the initial state of our search problem. It represents the start state from where our agent begins his task of exploration to find the goal state(s) which is given in the `goal` parameter.\n",
    "* `actions(self, state)` : This method returns all the possible actions our agent can make in state `state`.\n",
    "* `result(self, state, action)` : This returns the resulting state if action `action` is taken in the state `state`. This `Problem` class only deals with deterministic outcomes. So we know for sure what every action in a state would result to.\n",
    "* `goal_test(self, state)` : Given a graph state, it checks if it is a terminal state. If the state is indeed a goal state, value of `True` is returned. Else, of course, `False` is returned.\n",
    "* `path_cost(self, c, state1, action, state2)` : Return the cost of the path that arrives at `state2` as a result of taking `action` from `state1`, assuming total cost of `c` to get up to `state1`.\n",
    "* `value(self, state)` : This acts as a bit of extra information in problems where we try to optimize a value when we cannot do a goal test."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now the above abstract class acts as a parent class, and there is another named called `GraphProblem` in our module. It creates a graph problem from an instance of the `Graph` class. To create a graph, simply type `graph = Graph(dict(...))`. The dictionary must contain nodes of the graph as keys, so make sure they are `hashable`. If you don't know what that means just use strings or numbers. Each node contains the adjacent nodes as keys and the edge length as its value. Each dictionary then should correspond to another dictionary in the graph.  The `Graph` class creates a directed(edges allow only one way traffic) by default. If you want to make an undirected graph, use `UndirectedGraph` instead, but make sure to mention any edge in only one of its nodes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you didn't understand the above paragraph, `Fret not!`. Just think of the below code as a magicical method to create a simple undirected graph. I'll explain what it is about later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "museum_graph = UndirectedGraph(dict(\n",
    "    Start = dict(Dog = 3, Cat = 9, Mouse = 4),\n",
    "    Dog = dict(Bear = 7),\n",
    "    Cat = dict(Monkey = 9, Fish = 8, Penguin = 3),\n",
    "    Mouse = dict(Penguin = 2),\n",
    "    Bear = dict(Monkey = 7),\n",
    "    Monkey = dict(Giraffe = 11, Fish = 6),\n",
    "    Fish = dict(Giraffe = 8),\n",
    "    Penguin = dict(Parrot = 4, Elephant = 6),\n",
    "    Giraffe = dict(Hen = 5),\n",
    "    Parrot = dict(Hen = 10),\n",
    "    Elephant = dict(Hen = 9)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Imagine we are in a museum showcasing statues of various animals. To navigate through the museum there are paths between some statues and the entrance. We define the entrance and the statues as nodes in our graph with the path connecting them as edges. The cost/weight of an edge specifies is its length. So `Start = dict(Dog = 3, Cat = 9, Mouse = 4)` means that there are paths from `Start` to `Dog`, `Cat` and `Mouse` with path costs 3, 9 and 4 respectively. \n",
    "\n",
    "Here's an image below to better understand our graph."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"images/search_animal.svg\" width=\"80%\">\n",
    "<!-- Theses lovely animal icons were reproduced courtesy of Creative Tail https://www.creativetail.com/40-free-flat-animal-icons/ -->\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Breadth First Search"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Breadth First Search, the `shallowest` unexpanded node is chosen for expansion. That means that all nodes of a given depth must be expanded before any node of the next depth level. This search strategy accomplishes this by using a `FIFO` meaning 'First In First Out' queue. Anything that gets in the queue first also gets out first just like the checkout queue in a supermarket. To use the algorithm, first we need to define our problem. Say we want to find the statue of `Monkey` and we start from the entrance which is the `Start` state. We'll define our problem using the `GraphProblem` class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "monkey_problem = GraphProblem('Start', 'Monkey', museum_graph)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's find the solution for our problem using the `breadth_first_search` method. Note that it returns a `Node` from which we can find the solution by looking at the path that was taken to reach there."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Cat', 'Monkey']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bfs_node = breadth_first_search(monkey_problem)\n",
    "bfs_node.solution()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get the output as `['Cat', 'Monkey']`. That is because first the nodes `Dog`, `Cat` and `Mouse` are added to the `FIFO` queue in `some` order when we are expanding the `Start` node. Now when we start expanding nodes in the next level, only the `Cat` node gets us to `Monkey`. Note that during a breadth first search, the goal test is done when the node is being added to the queue."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Uniform-cost Search"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Uniform-cost Search, we expand the node with the lowest path cost (the cost to reach that node from the start) instead of expanding the shallowest node. Rather than a `FIFO` queue, we use something called a `priority queue` which selects the element with the highest `priority` of all elements in the queue. For our problem, the shortest path between animals has the higher priority; the shortest path has the lowest path cost. Whenever we need to enqueue a node already in the queue, we will update its path cost if the newer path is better. This is a very important step, and it means that the path cost to a node may keep getting better until it is selected for expansion. This is the reason that we do a goal check only when a node is selected for expanion."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Dog', 'Bear', 'Monkey']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ucs_node = uniform_cost_search(monkey_problem)\n",
    "ucs_node.solution()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We got the path`['Dog', 'Bear', 'Monkey']` instead of `['Cat', 'Monkey']`. Why? The path cost is lower! We can also see the path cost with the path_cost attribute. Let's compare the path cost of the Breadth first search solution and Uniform cost search solution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18, 17)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bfs_node.path_cost, ucs_node.path_cost"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We were right! \n",
    "\n",
    "The path cost through the `Cat` statue is indeed more than the path cost through `Dog` even though the former passes through two roads compared to the three roads in the `ucs_node` solution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Romania map visualisations\n",
    "\n",
    "Let's have a visualisation of Romania map [Figure 3.2] from the book and see how different searching algorithms perform / how frontier expands in each search algorithm for a simple problem to reach 'Bucharest' starting from 'Arad'. This is how the problem is defined:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "romania_problem = GraphProblem('Arad', 'Bucharest', romania_map)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Have a look at `romania_locations`. It is a dictionary defined in search module. We will use these location values to draw the romania graph using **networkx**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Neamt': (406, 537), 'Craiova': (253, 288), 'Fagaras': (305, 449), 'Drobeta': (165, 299), 'Timisoara': (94, 410), 'Sibiu': (207, 457), 'Urziceni': (456, 350), 'Giurgiu': (375, 270), 'Vaslui': (509, 444), 'Iasi': (473, 506), 'Rimnicu': (233, 410), 'Arad': (91, 492), 'Mehadia': (168, 339), 'Hirsova': (534, 350), 'Oradea': (131, 571), 'Zerind': (108, 531), 'Pitesti': (320, 368), 'Lugoj': (165, 379), 'Bucharest': (400, 327), 'Eforie': (562, 293)}\n"
     ]
    }
   ],
   "source": [
    "romania_locations = romania_map.locations\n",
    "print(romania_locations)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's start the visualisations by importing necessary modules. We use networkx and matplotlib to show the map in notebook and we use ipywidgets to interact with the map to see how the searching algorithm works."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from ipywidgets import interact\n",
    "import ipywidgets as widgets\n",
    "from IPython.display import display\n",
    "import time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's get started by initializing an empty graph. We will add nodes, place the nodes in their location as shown in the book, add edges to the graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# initialise a graph\n",
    "G = nx.Graph()\n",
    "\n",
    "# use this while labeling nodes in the map\n",
    "node_labels = dict()\n",
    "# use this to modify colors of nodes while exploring the graph.\n",
    "# This is the only dict we send to `show_map(node_colors)` while drawing the map\n",
    "node_colors = dict()\n",
    "\n",
    "for n, p in romania_locations.items():\n",
    "    # add nodes from romania_locations\n",
    "    G.add_node(n)\n",
    "    # add nodes to node_labels\n",
    "    node_labels[n] = n\n",
    "    # node_colors to color nodes while exploring romania map\n",
    "    node_colors[n] = \"white\"\n",
    "\n",
    "initial_node_colors = dict(node_colors)\n",
    "    \n",
    "# positions for node labels\n",
    "node_label_pos = {k:[v[0],v[1]-10] for k,v in romania_locations.items()}\n",
    "\n",
    "# use thi whiel labeling edges\n",
    "edge_labels = dict()\n",
    "\n",
    "# add edges between cities in romania map - UndirectedGraph defined in search.py\n",
    "for node in romania_map.nodes():\n",
    "    connections = romania_map.get(node)\n",
    "    for connection in connections.keys():\n",
    "        distance = connections[connection]\n",
    "        # add edges to the graph\n",
    "        G.add_edge(node, connection)\n",
    "        # add distances to edge_labels\n",
    "        edge_labels[(node, connection)] = distance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have completed building our graph based on romania_map and its locations. It's time to display it here in the notebook. This function `show_map(node_colors)` helps us do that. We will be calling this function later on to display the map at each and every interval step while searching using variety of algorithms from the book."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_map(node_colors):\n",
    "    # set the size of the plot\n",
    "    plt.figure(figsize=(18,13))\n",
    "    # draw the graph with locations from romania_locations\n",
    "    nx.draw(G, pos = romania_locations, node_color = [node_colors[node] for node in G.nodes()])\n",
    "\n",
    "    # draw labels for nodes\n",
    "    node_label_handles = nx.draw_networkx_labels(G, pos = node_label_pos, labels = node_labels, font_size = 14)\n",
    "    # add a white bounding box behind the node labels\n",
    "    [label.set_bbox(dict(facecolor='white', edgecolor='none')) for label in node_label_handles.values()]\n",
    "\n",
    "    # add edge lables to the graph\n",
    "    nx.draw_networkx_edge_labels(G, pos = romania_locations, edge_labels=edge_labels, font_size = 14)\n",
    "\n",
    "    # show the plot. No need to use in notebooks. nx.draw will show the graph itself.\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can simply call the function with node_colors dictionary object to display it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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Ijo5WzZo1tWPHDmahAACQA+Lj4zVz5kzNmTNHL7/8skaNGiUPDw+jYwEAAJOj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\nAADAUo4QIfF0L7soAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107d1c5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_map(node_colors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Voila! You see, the romania map as shown in the Figure[3.2] in the book. Now, see how different searching algorithms perform with our problem statements."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Searching algorithms\n",
    "\n",
    "In this section, we have visualisations of the following searching algorithms:\n",
    "\n",
    "1. breadth_first_tree_search\n",
    "2. depth_first_tree_search\n",
    "3. depth_first_graph_search\n",
    "4. breadth_first_search\n",
    "5. best_first_graph_search\n",
    "6. uniform_cost_search\n",
    "7. depth_limited_search\n",
    "8. iterative_deepening_search\n",
    "9. astar_search\n",
    "10. recursive_best_first_search\n",
    "\n",
    "We add the colors to the nodes to have a nice visualisation when displaying. So, these are the different colors we are using in these visuals:\n",
    "* Un-explored nodes - <font color='black'>white</font>\n",
    "* Frontier nodes - <font color='blue'>blue</font>\n",
    "* Currently exploring node - <font color='red'>red</font>\n",
    "* Already explored nodes - <font color='gray'>gray</font>\n",
    "* Goal node - <font color='green'>green</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Breadth first tree search\n",
    "\n",
    "We have a working implementation in search module. But as we want to interact with the graph while it is searching, we need to modify the implementation. Here's the modified breadth first tree search.\n",
    "\n",
    "Let's define a problem statement:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "romania_problem = GraphProblem('Arad', 'Fagaras', romania_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def tree_search(problem, frontier):\n",
    "    \"\"\"Search through the successors of a problem to find a goal.\n",
    "    The argument frontier should be an empty queue.\n",
    "    Don't worry about repeated paths to a state. [Figure 3.7]\"\"\"\n",
    "    \n",
    "    # we use these two variables at the time of visualisations\n",
    "    global iterations\n",
    "    iterations = 0\n",
    "    global all_node_colors\n",
    "    all_node_colors = []\n",
    "    \n",
    "    frontier.append(Node(problem.initial))\n",
    "    \n",
    "    # modify the color of frontier nodes to blue\n",
    "    frontier_list = frontier.__dict__[\"A\"][frontier.__dict__[\"start\"]:]    \n",
    "    for n in frontier_list:\n",
    "        node_colors[n.state] = \"blue\"\n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "    \n",
    "    while frontier:\n",
    "        node = frontier.pop()\n",
    "        \n",
    "        # modify the currently searching node to red\n",
    "        node_colors[node.state] = \"red\"\n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "        \n",
    "        if problem.goal_test(node.state):\n",
    "            # modify goal node to green after reaching the goal\n",
    "            node_colors[node.state] = \"green\"\n",
    "            iterations += 1\n",
    "            all_node_colors.append(dict(node_colors))\n",
    "            return node\n",
    "        \n",
    "        frontier.extend(node.expand(problem))\n",
    "        \n",
    "        # modify the color of frontier nodes to blue\n",
    "        frontier_list = frontier.__dict__[\"A\"][frontier.__dict__[\"start\"]:]        \n",
    "        for n in frontier_list:\n",
    "            node_colors[n.state] = \"blue\"\n",
    "            iterations += 1\n",
    "            all_node_colors.append(dict(node_colors))\n",
    "\n",
    "        # modify the color of explored nodes to gray\n",
    "        node_colors[node.state] = \"gray\"\n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "        \n",
    "    return None\n",
    "\n",
    "def breadth_first_tree_search(problem):\n",
    "    \"Search the shallowest nodes in the search tree first.\"\n",
    "    return tree_search(problem, FIFOQueue())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's call the `modified breadth_first_tree_search` with our problem statement. Print `iterations` to see how many intermediate steps we have got "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "90\n",
      "90\n"
     ]
    }
   ],
   "source": [
    "breadth_first_tree_search(romania_problem).solution()\n",
    "\n",
    "print(len(all_node_colors))\n",
    "print(iterations)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we use ipywidgets to display a slider, a button and our romania map. By sliding the slider we can have a look at all the intermediate steps of a particular search algorithm. By pressing the button **Visualize**, you can see all the steps without interacting with the slider. These two helper functions are the callback function which are called when we interact with slider and the button.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def slider_callback(iteration):\n",
    "    show_map(all_node_colors[iteration])\n",
    "\n",
    "def visualize_callback(Visualize):\n",
    "    if Visualize is True:\n",
    "        for i in range(slider.max + 1):\n",
    "            slider.value = i\n",
    "#             time.sleep(.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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oeXt7Gx0LAACYHOUnkM+aNGmrHTv6SXo222O4ujbRypVhatu2be4FK4Leffdd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DAAAg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\nuqElWwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108916be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "slider = widgets.IntSlider(min=0, max=iterations-1, step=1, value=0)\n",
    "w = widgets.interactive(slider_callback, iteration = slider)\n",
    "display(w)\n",
    "\n",
    "button = widgets.ToggleButton(desctiption = \"Visualize\", value = False)\n",
    "a = widgets.interactive(visualize_callback, Visualize = button)\n",
    "display(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Breadth first search\n",
    "\n",
    "Let's change all the node_colors to starting position and difine a different problem statement."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "node_colors = dict(initial_node_colors)\n",
    "romania_problem = GraphProblem('Arad', 'Bucharest', romania_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def breadth_first_search(problem):\n",
    "    \"[Figure 3.11]\"\n",
    "    \n",
    "    # we use these two variables at the time of visualisations\n",
    "    global iterations\n",
    "    iterations = 0\n",
    "    global all_node_colors\n",
    "    all_node_colors = []\n",
    "    \n",
    "    node = Node(problem.initial)\n",
    "    \n",
    "    node_colors[node.state] = \"red\"\n",
    "    iterations += 1\n",
    "    all_node_colors.append(dict(node_colors))\n",
    "      \n",
    "    if problem.goal_test(node.state):\n",
    "        node_colors[node.state] = \"green\"\n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "        return node\n",
    "    \n",
    "    frontier = FIFOQueue()\n",
    "    frontier.append(node)\n",
    "    \n",
    "    # modify the color of frontier nodes to blue\n",
    "    node_colors[node.state] = \"blue\"\n",
    "    iterations += 1\n",
    "    all_node_colors.append(dict(node_colors))\n",
    "        \n",
    "    explored = set()\n",
    "    while frontier:\n",
    "        node = frontier.pop()\n",
    "        node_colors[node.state] = \"red\"\n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "        \n",
    "        explored.add(node.state)     \n",
    "        \n",
    "        for child in node.expand(problem):\n",
    "            if child.state not in explored and child not in frontier:\n",
    "                if problem.goal_test(child.state):\n",
    "                    node_colors[child.state] = \"green\"\n",
    "                    iterations += 1\n",
    "                    all_node_colors.append(dict(node_colors))\n",
    "                    return child\n",
    "                frontier.append(child)\n",
    "\n",
    "                node_colors[child.state] = \"blue\"\n",
    "                iterations += 1\n",
    "                all_node_colors.append(dict(node_colors))\n",
    "                    \n",
    "        node_colors[node.state] = \"gray\"\n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "    return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26\n",
      "26\n"
     ]
    }
   ],
   "source": [
    "breadth_first_search(romania_problem).solution()\n",
    "\n",
    "print(len(all_node_colors))\n",
    "print(iterations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def slider_callback(iteration):\n",
    "    show_map(all_node_colors[iteration])\n",
    "\n",
    "def visualize_callback(Visualize):\n",
    "    if Visualize is True:\n",
    "        for i in range(slider.max + 1):\n",
    "            slider.value = i\n",
    "#             time.sleep(.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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UAAByQXx8vGbMmKHZs2frhRde0OjRo+Xt7W10LAAAYHKUn0Aua9asmUqVKiU/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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1093487f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "slider = widgets.IntSlider(min=0, max=iterations-1, step=1, value=0)\n",
    "w = widgets.interactive(slider_callback, iteration = slider)\n",
    "display(w)\n",
    "\n",
    "button = widgets.ToggleButton(desctiption = \"Visualize\", value = False)\n",
    "a = widgets.interactive(visualize_callback, Visualize = button)\n",
    "display(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.5.1"
  },
  "widgets": {
   "state": {
    "01c5cebb63c540dd959a164ec54b7506": {
     "views": []
    },
    "03620569743d4d2e942bdfda14684624": {
     "views": []
    },
    "03c57ee34df6417b92be5cd7a0f1a045": {
     "views": []
    },
    "057cacf5c97a442ba2b4f2e14252975a": {
     "views": [
      {
       "cell_index": 50
      }
     ]
    },
    "06cbbf6363eb434e92cc337fe827d1dd": {
     "views": []
    },
    "07d157ea8f904c5782645258da7a8231": {
     "views": []
    },
    "0968141f04994e628044f9510c7914d3": {
     "views": []
    },
    "0ed4e91a689243b2a0bee8131dbc4853": {
     "views": [
      {
       "cell_index": 44
      }
     ]
    },
    "178b31abc9094a558fdda9d5a090dc94": {
     "views": []
    },
    "1c0f9d9d389540c3b918c0db939fd02b": {
     "views": []
    },
    "1cf88580363d41b587a9d2dd5c2e3cac": {
     "views": []
    },
    "241e69c4749b4701a2459c45fcac5ec3": {
     "views": [
      {
       "cell_index": 50
      }
     ]
    },
    "24646a12251f40868ced5d350a4378a7": {
     "views": []
    },
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