aima-python/notebook.py at 8bede286eaa350c7fdcddab7de64c513779f7bc2 · aimacode/aima-python · GitHub

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import time

from collections import defaultdict

from inspect import getsource

import ipywidgets as widgets

import matplotlib.pyplot as plt

import networkx as nx

import numpy as np

from IPython.display import HTML

from IPython.display import display

from PIL import Image

from matplotlib import lines

from games import TicTacToe, alphabeta_player, random_player, Fig52Extended, inf

from learning import DataSet

from logic import parse_definite_clause, standardize_variables, unify, subst

from search import GraphProblem, romania_map

from utils import argmax, argmin

# ______________________________________________________________________________

# Magic Words

def pseudocode(algorithm):

"""Print the pseudocode for the given algorithm."""

from urllib.request import urlopen

from IPython.display import Markdown

algorithm = algorithm.replace(' ', '-')

url = "https://raw.githubusercontent.com/aimacode/aima-pseudocode/master/md/{}.md".format(algorithm)

f = urlopen(url)

md = f.read().decode('utf-8')

md = md.split('\n', 1)[-1].strip()

md = '#' + md

return Markdown(md)

def psource(*functions):

"""Print the source code for the given function(s)."""

source_code = '\n\n'.join(getsource(fn) for fn in functions)

try:

from pygments.formatters import HtmlFormatter

from pygments.lexers import PythonLexer

from pygments import highlight

display(HTML(highlight(source_code, PythonLexer(), HtmlFormatter(full=True))))

except ImportError:

print(source_code)

# ______________________________________________________________________________

# Iris Visualization

def show_iris(i=0, j=1, k=2):

"""Plots the iris dataset in a 3D plot.

The three axes are given by i, j and k,

which correspond to three of the four iris features."""

plt.rcParams.update(plt.rcParamsDefault)

fig = plt.figure()

ax = fig.add_subplot(111, projection='3d')

iris = DataSet(name="iris")

buckets = iris.split_values_by_classes()

features = ["Sepal Length", "Sepal Width", "Petal Length", "Petal Width"]

f1, f2, f3 = features[i], features[j], features[k]

a_setosa = [v[i] for v in buckets["setosa"]]

b_setosa = [v[j] for v in buckets["setosa"]]

c_setosa = [v[k] for v in buckets["setosa"]]

a_virginica = [v[i] for v in buckets["virginica"]]

b_virginica = [v[j] for v in buckets["virginica"]]

c_virginica = [v[k] for v in buckets["virginica"]]

a_versicolor = [v[i] for v in buckets["versicolor"]]

b_versicolor = [v[j] for v in buckets["versicolor"]]

c_versicolor = [v[k] for v in buckets["versicolor"]]

for c, m, sl, sw, pl in [('b', 's', a_setosa, b_setosa, c_setosa),

('g', '^', a_virginica, b_virginica, c_virginica),

('r', 'o', a_versicolor, b_versicolor, c_versicolor)]:

ax.scatter(sl, sw, pl, c=c, marker=m)

ax.set_xlabel(f1)

ax.set_ylabel(f2)

ax.set_zlabel(f3)

plt.show()

# ______________________________________________________________________________

# MNIST

def load_MNIST(path="aima-data/MNIST/Digits", fashion=False):

import os, struct

import array

import numpy as np

if fashion:

path = "aima-data/MNIST/Fashion"

plt.rcParams.update(plt.rcParamsDefault)

plt.rcParams['figure.figsize'] = (10.0, 8.0)

plt.rcParams['image.interpolation'] = 'nearest'

plt.rcParams['image.cmap'] = 'gray'

train_img_file = open(os.path.join(path, "train-images-idx3-ubyte"), "rb")

train_lbl_file = open(os.path.join(path, "train-labels-idx1-ubyte"), "rb")

test_img_file = open(os.path.join(path, "t10k-images-idx3-ubyte"), "rb")

test_lbl_file = open(os.path.join(path, 't10k-labels-idx1-ubyte'), "rb")

magic_nr, tr_size, tr_rows, tr_cols = struct.unpack(">IIII", train_img_file.read(16))

tr_img = array.array("B", train_img_file.read())

train_img_file.close()

magic_nr, tr_size = struct.unpack(">II", train_lbl_file.read(8))

tr_lbl = array.array("b", train_lbl_file.read())

train_lbl_file.close()

magic_nr, te_size, te_rows, te_cols = struct.unpack(">IIII", test_img_file.read(16))

te_img = array.array("B", test_img_file.read())

test_img_file.close()

magic_nr, te_size = struct.unpack(">II", test_lbl_file.read(8))

te_lbl = array.array("b", test_lbl_file.read())

test_lbl_file.close()

# print(len(tr_img), len(tr_lbl), tr_size)

# print(len(te_img), len(te_lbl), te_size)

train_img = np.zeros((tr_size, tr_rows * tr_cols), dtype=np.int16)

train_lbl = np.zeros((tr_size,), dtype=np.int8)

for i in range(tr_size):

train_img[i] = np.array(tr_img[i * tr_rows * tr_cols: (i + 1) * tr_rows * tr_cols]).reshape((tr_rows * te_cols))

train_lbl[i] = tr_lbl[i]

test_img = np.zeros((te_size, te_rows * te_cols), dtype=np.int16)

test_lbl = np.zeros((te_size,), dtype=np.int8)

for i in range(te_size):

test_img[i] = np.array(te_img[i * te_rows * te_cols: (i + 1) * te_rows * te_cols]).reshape((te_rows * te_cols))

test_lbl[i] = te_lbl[i]

return (train_img, train_lbl, test_img, test_lbl)

digit_classes = [str(i) for i in range(10)]

fashion_classes = ["T-shirt/top", "Trouser", "Pullover", "Dress", "Coat",

"Sandal", "Shirt", "Sneaker", "Bag", "Ankle boot"]

def show_MNIST(labels, images, samples=8, fashion=False):

if not fashion:

classes = digit_classes

else:

classes = fashion_classes

num_classes = len(classes)

for y, cls in enumerate(classes):

idxs = np.nonzero([i == y for i in labels])

idxs = np.random.choice(idxs[0], samples, replace=False)

for i, idx in enumerate(idxs):

plt_idx = i * num_classes + y + 1

plt.subplot(samples, num_classes, plt_idx)

plt.imshow(images[idx].reshape((28, 28)))

plt.axis("off")

if i == 0:

plt.title(cls)

plt.show()

def show_ave_MNIST(labels, images, fashion=False):

if not fashion:

item_type = "Digit"

classes = digit_classes

else:

item_type = "Apparel"

classes = fashion_classes

num_classes = len(classes)

for y, cls in enumerate(classes):

idxs = np.nonzero([i == y for i in labels])

print(item_type, y, ":", len(idxs[0]), "images.")

ave_img = np.mean(np.vstack([images[i] for i in idxs[0]]), axis=0)

# print(ave_img.shape)

plt.subplot(1, num_classes, y + 1)

plt.imshow(ave_img.reshape((28, 28)))

plt.axis("off")

plt.title(cls)

plt.show()

# ______________________________________________________________________________

# MDP

def make_plot_grid_step_function(columns, rows, U_over_time):

"""ipywidgets interactive function supports single parameter as input.

This function creates and return such a function by taking as input

other parameters."""

def plot_grid_step(iteration):

data = U_over_time[iteration]

data = defaultdict(lambda: 0, data)

grid = []

for row in range(rows):

current_row = []

for column in range(columns):

current_row.append(data[(column, row)])

grid.append(current_row)

grid.reverse() # output like book

fig = plt.imshow(grid, cmap=plt.cm.bwr, interpolation='nearest')

plt.axis('off')

fig.axes.get_xaxis().set_visible(False)

fig.axes.get_yaxis().set_visible(False)

for col in range(len(grid)):

for row in range(len(grid[0])):

magic = grid[col][row]

fig.axes.text(row, col, "{0:.2f}".format(magic), va='center', ha='center')

plt.show()

return plot_grid_step

def make_visualize(slider):

"""Takes an input a sliderand returns callback function

for timer and animation."""

def visualize_callback(Visualize, time_step):

if Visualize is True:

for i in range(slider.min, slider.max + 1):

slider.value = i

time.sleep(float(time_step))

return visualize_callback

# ______________________________________________________________________________

_canvas = """

<div>

</div>

""" # noqa

class Canvas:

"""Inherit from this class to manage the HTML canvas element in jupyter notebooks.

To create an object of this class any_name_xyz = Canvas("any_name_xyz")

The first argument given must be the name of the object being created.

IPython must be able to reference the variable name that is being passed."""

def __init__(self, varname, width=800, height=600, cid=None):

self.name = varname

self.cid = cid or varname

self.width = width

self.height = height

self.html = _canvas.format(self.cid, self.width, self.height, self.name)

self.exec_list = []

display_html(self.html)

def mouse_click(self, x, y):

"""Override this method to handle mouse click at position (x, y)"""

raise NotImplementedError

def mouse_move(self, x, y):

raise NotImplementedError

def execute(self, exec_str):

"""Stores the command to be executed to a list which is used later during update()"""

if not isinstance(exec_str, str):

print("Invalid execution argument:", exec_str)

self.alert("Received invalid execution command format")

prefix = "{0}_canvas_object.".format(self.cid)

self.exec_list.append(prefix + exec_str + ';')

def fill(self, r, g, b):

"""Changes the fill color to a color in rgb format"""

self.execute("fill({0}, {1}, {2})".format(r, g, b))

def stroke(self, r, g, b):

"""Changes the colors of line/strokes to rgb"""

self.execute("stroke({0}, {1}, {2})".format(r, g, b))

def strokeWidth(self, w):

"""Changes the width of lines/strokes to 'w' pixels"""

self.execute("strokeWidth({0})".format(w))

def rect(self, x, y, w, h):

"""Draw a rectangle with 'w' width, 'h' height and (x, y) as the top-left corner"""

self.execute("rect({0}, {1}, {2}, {3})".format(x, y, w, h))

def rect_n(self, xn, yn, wn, hn):

"""Similar to rect(), but the dimensions are normalized to fall between 0 and 1"""

x = round(xn * self.width)

y = round(yn * self.height)

w = round(wn * self.width)

h = round(hn * self.height)

self.rect(x, y, w, h)

def line(self, x1, y1, x2, y2):

"""Draw a line from (x1, y1) to (x2, y2)"""

self.execute("line({0}, {1}, {2}, {3})".format(x1, y1, x2, y2))

def line_n(self, x1n, y1n, x2n, y2n):

"""Similar to line(), but the dimensions are normalized to fall between 0 and 1"""

x1 = round(x1n * self.width)

y1 = round(y1n * self.height)

x2 = round(x2n * self.width)

y2 = round(y2n * self.height)

self.line(x1, y1, x2, y2)

def arc(self, x, y, r, start, stop):

"""Draw an arc with (x, y) as centre, 'r' as radius from angles 'start' to 'stop'"""

self.execute("arc({0}, {1}, {2}, {3}, {4})".format(x, y, r, start, stop))

def arc_n(self, xn, yn, rn, start, stop):

"""Similar to arc(), but the dimensions are normalized to fall between 0 and 1

The normalizing factor for radius is selected between width and height by

seeing which is smaller."""

x = round(xn * self.width)

y = round(yn * self.height)

r = round(rn * min(self.width, self.height))

self.arc(x, y, r, start, stop)

def clear(self):

"""Clear the HTML canvas"""

self.execute("clear()")

def font(self, font):

"""Changes the font of text"""

self.execute('font("{0}")'.format(font))

def text(self, txt, x, y, fill=True):

"""Display a text at (x, y)"""

if fill:

self.execute('fill_text("{0}", {1}, {2})'.format(txt, x, y))

else:

self.execute('stroke_text("{0}", {1}, {2})'.format(txt, x, y))

def text_n(self, txt, xn, yn, fill=True):

"""Similar to text(), but with normalized coordinates"""

x = round(xn * self.width)

y = round(yn * self.height)

self.text(txt, x, y, fill)

def alert(self, message):

"""Immediately display an alert"""

display_html('<script>alert("{0}")</script>'.format(message))

def update(self):

"""Execute the JS code to execute the commands queued by execute()"""

exec_code = "<script>\n" + '\n'.join(self.exec_list) + "\n</script>"

self.exec_list = []

display_html(exec_code)

def display_html(html_string):

display(HTML(html_string))

################################################################################

class Canvas_TicTacToe(Canvas):

"""Play a 3x3 TicTacToe game on HTML canvas"""

def __init__(self, varname, player_1='human', player_2='random',

width=300, height=350, cid=None):

valid_players = ('human', 'random', 'alphabeta')

if player_1 not in valid_players or player_2 not in valid_players:

raise TypeError("Players must be one of {}".format(valid_players))

Canvas.__init__(self, varname, width, height, cid)

self.ttt = TicTacToe()

self.state = self.ttt.initial

self.turn = 0

self.strokeWidth(5)

self.players = (player_1, player_2)

self.font("20px Arial")

self.draw_board()

def mouse_click(self, x, y):

player = self.players[self.turn]

if self.ttt.terminal_test(self.state):

if 0.55 <= x / self.width <= 0.95 and 6 / 7 <= y / self.height <= 6 / 7 + 1 / 8:

self.state = self.ttt.initial

self.turn = 0

self.draw_board()

return

if player == 'human':

x, y = int(3 * x / self.width) + 1, int(3 * y / (self.height * 6 / 7)) + 1

if (x, y) not in self.ttt.actions(self.state):

# Invalid move

return

move = (x, y)

elif player == 'alphabeta':

move = alphabeta_player(self.ttt, self.state)

else:

move = random_player(self.ttt, self.state)

self.state = self.ttt.result(self.state, move)

self.turn ^= 1

self.draw_board()

def draw_board(self):

self.clear()

self.stroke(0, 0, 0)

offset = 1 / 20

self.line_n(0 + offset, (1 / 3) * 6 / 7, 1 - offset, (1 / 3) * 6 / 7)

self.line_n(0 + offset, (2 / 3) * 6 / 7, 1 - offset, (2 / 3) * 6 / 7)

self.line_n(1 / 3, (0 + offset) * 6 / 7, 1 / 3, (1 - offset) * 6 / 7)

self.line_n(2 / 3, (0 + offset) * 6 / 7, 2 / 3, (1 - offset) * 6 / 7)

board = self.state.board

for mark in board:

if board[mark] == 'X':

self.draw_x(mark)

elif board[mark] == 'O':

self.draw_o(mark)

if self.ttt.terminal_test(self.state):

# End game message

utility = self.ttt.utility(self.state, self.ttt.to_move(self.ttt.initial))

if utility == 0:

self.text_n('Game Draw!', offset, 6 / 7 + offset)

else:

self.text_n('Player {} wins!'.format("XO"[utility < 0]), offset, 6 / 7 + offset)

# Find the 3 and draw a line

self.stroke([255, 0][self.turn], [0, 255][self.turn], 0)

for i in range(3):

if all([(i + 1, j + 1) in self.state.board for j in range(3)]) and \

len({self.state.board[(i + 1, j + 1)] for j in range(3)}) == 1:

self.line_n(i / 3 + 1 / 6, offset * 6 / 7, i / 3 + 1 / 6, (1 - offset) * 6 / 7)

if all([(j + 1, i + 1) in self.state.board for j in range(3)]) and \

len({self.state.board[(j + 1, i + 1)] for j in range(3)}) == 1:

self.line_n(offset, (i / 3 + 1 / 6) * 6 / 7, 1 - offset, (i / 3 + 1 / 6) * 6 / 7)

if all([(i + 1, i + 1) in self.state.board for i in range(3)]) and \

len({self.state.board[(i + 1, i + 1)] for i in range(3)}) == 1:

self.line_n(offset, offset * 6 / 7, 1 - offset, (1 - offset) * 6 / 7)

if all([(i + 1, 3 - i) in self.state.board for i in range(3)]) and \

len({self.state.board[(i + 1, 3 - i)] for i in range(3)}) == 1:

self.line_n(offset, (1 - offset) * 6 / 7, 1 - offset, offset * 6 / 7)

# restart button

self.fill(0, 0, 255)

self.rect_n(0.5 + offset, 6 / 7, 0.4, 1 / 8)

self.fill(0, 0, 0)

self.text_n('Restart', 0.5 + 2 * offset, 13 / 14)

else: # Print which player's turn it is

self.text_n("Player {}'s move({})".format("XO"[self.turn], self.players[self.turn]),

offset, 6 / 7 + offset)

self.update()

def draw_x(self, position):

self.stroke(0, 255, 0)

x, y = [i - 1 for i in position]

offset = 1 / 15

self.line_n(x / 3 + offset, (y / 3 + offset) * 6 / 7, x / 3 + 1 / 3 - offset, (y / 3 + 1 / 3 - offset) * 6 / 7)

self.line_n(x / 3 + 1 / 3 - offset, (y / 3 + offset) * 6 / 7, x / 3 + offset, (y / 3 + 1 / 3 - offset) * 6 / 7)

def draw_o(self, position):

self.stroke(255, 0, 0)

x, y = [i - 1 for i in position]

self.arc_n(x / 3 + 1 / 6, (y / 3 + 1 / 6) * 6 / 7, 1 / 9, 0, 360)

class Canvas_minimax(Canvas):

"""Minimax for Fig52Extended on HTML canvas"""

def __init__(self, varname, util_list, width=800, height=600, cid=None):

Canvas.__init__(self, varname, width, height, cid)

self.utils = {node: util for node, util in zip(range(13, 40), util_list)}

self.game = Fig52Extended()

self.game.utils = self.utils

self.nodes = list(range(40))

self.l = 1 / 40

self.node_pos = {}

for i in range(4):

base = len(self.node_pos)

row_size = 3 ** i

for node in [base + j for j in range(row_size)]:

self.node_pos[node] = ((node - base) / row_size + 1 / (2 * row_size) - self.l / 2,

self.l / 2 + (self.l + (1 - 5 * self.l) / 3) * i)

self.font("12px Arial")

self.node_stack = []

self.explored = {node for node in self.utils}

self.thick_lines = set()

self.change_list = []

self.draw_graph()

self.stack_manager = self.stack_manager_gen()

def minimax(self, node):

game = self.game

player = game.to_move(node)

def max_value(node):

if game.terminal_test(node):

return game.utility(node, player)

self.change_list.append(('a', node))

self.change_list.append(('h',))

max_a = argmax(game.actions(node), key=lambda x: min_value(game.result(node, x)))

max_node = game.result(node, max_a)

self.utils[node] = self.utils[max_node]

x1, y1 = self.node_pos[node]

x2, y2 = self.node_pos[max_node]

self.change_list.append(('l', (node, max_node - 3 * node - 1)))

self.change_list.append(('e', node))

self.change_list.append(('p',))

self.change_list.append(('h',))

return self.utils[node]

def min_value(node):

if game.terminal_test(node):

return game.utility(node, player)

self.change_list.append(('a', node))

self.change_list.append(('h',))

min_a = argmin(game.actions(node), key=lambda x: max_value(game.result(node, x)))

min_node = game.result(node, min_a)

self.utils[node] = self.utils[min_node]

x1, y1 = self.node_pos[node]

x2, y2 = self.node_pos[min_node]

self.change_list.append(('l', (node, min_node - 3 * node - 1)))

self.change_list.append(('e', node))

self.change_list.append(('p',))

self.change_list.append(('h',))

return self.utils[node]

return max_value(node)

def stack_manager_gen(self):

self.minimax(0)

for change in self.change_list:

if change[0] == 'a':

self.node_stack.append(change[1])

elif change[0] == 'e':

self.explored.add(change[1])

elif change[0] == 'h':

yield

elif change[0] == 'l':

self.thick_lines.add(change[1])

elif change[0] == 'p':

self.node_stack.pop()

def mouse_click(self, x, y):

try:

self.stack_manager.send(None)

except StopIteration:

pass

self.draw_graph()

def draw_graph(self):

self.clear()

# draw nodes

self.stroke(0, 0, 0)

self.strokeWidth(1)

# highlight for nodes in stack

for node in self.node_stack:

x, y = self.node_pos[node]

self.fill(200, 200, 0)

self.rect_n(x - self.l / 5, y - self.l / 5, self.l * 7 / 5, self.l * 7 / 5)

for node in self.nodes:

x, y = self.node_pos[node]

if node in self.explored:

self.fill(255, 255, 255)

else:

self.fill(200, 200, 200)

self.rect_n(x, y, self.l, self.l)

self.line_n(x, y, x + self.l, y)

self.line_n(x, y, x, y + self.l)

self.line_n(x + self.l, y + self.l, x + self.l, y)

self.line_n(x + self.l, y + self.l, x, y + self.l)

self.fill(0, 0, 0)

if node in self.explored:

self.text_n(self.utils[node], x + self.l / 10, y + self.l * 9 / 10)

# draw edges

for i in range(13):

x1, y1 = self.node_pos[i][0] + self.l / 2, self.node_pos[i][1] + self.l

for j in range(3):

x2, y2 = self.node_pos[i * 3 + j + 1][0] + self.l / 2, self.node_pos[i * 3 + j + 1][1]

if i in [1, 2, 3]:

self.stroke(200, 0, 0)

else:

self.stroke(0, 200, 0)

if (i, j) in self.thick_lines:

self.strokeWidth(3)

else:

self.strokeWidth(1)

self.line_n(x1, y1, x2, y2)

self.update()

class Canvas_alphabeta(Canvas):

"""Alpha-beta pruning for Fig52Extended on HTML canvas"""

def __init__(self, varname, util_list, width=800, height=600, cid=None):

Canvas.__init__(self, varname, width, height, cid)

self.utils = {node: util for node, util in zip(range(13, 40), util_list)}

self.game = Fig52Extended()

self.game.utils = self.utils

self.nodes = list(range(40))

self.l = 1 / 40

self.node_pos = {}

for i in range(4):

base = len(self.node_pos)

row_size = 3 ** i

for node in [base + j for j in range(row_size)]:

self.node_pos[node] = ((node - base) / row_size + 1 / (2 * row_size) - self.l / 2,

3 * self.l / 2 + (self.l + (1 - 6 * self.l) / 3) * i)

self.font("12px Arial")

self.node_stack = []

self.explored = {node for node in self.utils}

self.pruned = set()

self.ab = {}

self.thick_lines = set()

self.change_list = []

self.draw_graph()

self.stack_manager = self.stack_manager_gen()

def alphabeta_search(self, node):

game = self.game

player = game.to_move(node)

# Functions used by alphabeta

def max_value(node, alpha, beta):

if game.terminal_test(node):

self.change_list.append(('a', node))

self.change_list.append(('h',))

self.change_list.append(('p',))

return game.utility(node, player)

v = -inf

self.change_list.append(('a', node))

self.change_list.append(('ab', node, v, beta))

self.change_list.append(('h',))

for a in game.actions(node):

min_val = min_value(game.result(node, a), alpha, beta)

if v < min_val:

v = min_val

max_node = game.result(node, a)

self.change_list.append(('ab', node, v, beta))

if v >= beta:

self.change_list.append(('h',))

self.pruned.add(node)

break

alpha = max(alpha, v)

self.utils[node] = v

if node not in self.pruned:

self.change_list.append(('l', (node, max_node - 3 * node - 1)))

self.change_list.append(('e', node))

self.change_list.append(('p',))

self.change_list.append(('h',))

return v

def min_value(node, alpha, beta):

if game.terminal_test(node):

self.change_list.append(('a', node))

self.change_list.append(('h',))

self.change_list.append(('p',))

return game.utility(node, player)

v = inf

self.change_list.append(('a', node))

self.change_list.append(('ab', node, alpha, v))

self.change_list.append(('h',))

for a in game.actions(node):

max_val = max_value(game.result(node, a), alpha, beta)

if v > max_val:

v = max_val

min_node = game.result(node, a)

self.change_list.append(('ab', node, alpha, v))

if v <= alpha:

self.change_list.append(('h',))

self.pruned.add(node)

break

beta = min(beta, v)

self.utils[node] = v

if node not in self.pruned:

self.change_list.append(('l', (node, min_node - 3 * node - 1)))

self.change_list.append(('e', node))

self.change_list.append(('p',))

self.change_list.append(('h',))

return v

return max_value(node, -inf, inf)

def stack_manager_gen(self):

self.alphabeta_search(0)

for change in self.change_list:

if change[0] == 'a':

self.node_stack.append(change[1])

elif change[0] == 'ab':

self.ab[change[1]] = change[2:]

elif change[0] == 'e':

self.explored.add(change[1])

elif change[0] == 'h':

yield

elif change[0] == 'l':

self.thick_lines.add(change[1])

elif change[0] == 'p':

self.node_stack.pop()

def mouse_click(self, x, y):

try:

self.stack_manager.send(None)

except StopIteration:

pass

self.draw_graph()

def draw_graph(self):

self.clear()

# draw nodes

self.stroke(0, 0, 0)

self.strokeWidth(1)

# highlight for nodes in stack

for node in self.node_stack:

x, y = self.node_pos[node]

# alpha > beta

if node not in self.explored and self.ab[node][0] > self.ab[node][1]:

self.fill(200, 100, 100)

else:

self.fill(200, 200, 0)

self.rect_n(x - self.l / 5, y - self.l / 5, self.l * 7 / 5, self.l * 7 / 5)

for node in self.nodes:

x, y = self.node_pos[node]

if node in self.explored:

if node in self.pruned:

self.fill(50, 50, 50)

else:

self.fill(255, 255, 255)

else:

self.fill(200, 200, 200)

self.rect_n(x, y, self.l, self.l)

self.line_n(x, y, x + self.l, y)

self.line_n(x, y, x, y + self.l)

self.line_n(x + self.l, y + self.l, x + self.l, y)

self.line_n(x + self.l, y + self.l, x, y + self.l)

self.fill(0, 0, 0)

if node in self.explored and node not in self.pruned:

self.text_n(self.utils[node], x + self.l / 10, y + self.l * 9 / 10)

# draw edges

for i in range(13):

x1, y1 = self.node_pos[i][0] + self.l / 2, self.node_pos[i][1] + self.l

for j in range(3):

x2, y2 = self.node_pos[i * 3 + j + 1][0] + self.l / 2, self.node_pos[i * 3 + j + 1][1]

if i in [1, 2, 3]:

self.stroke(200, 0, 0)

else:

self.stroke(0, 200, 0)

if (i, j) in self.thick_lines:

self.strokeWidth(3)

else:

self.strokeWidth(1)

self.line_n(x1, y1, x2, y2)

# display alpha and beta

for node in self.node_stack:

if node not in self.explored:

x, y = self.node_pos[node]

alpha, beta = self.ab[node]

self.text_n(alpha, x - self.l / 2, y - self.l / 10)

self.text_n(beta, x + self.l, y - self.l / 10)

self.update()

class Canvas_fol_bc_ask(Canvas):

"""fol_bc_ask() on HTML canvas"""

def __init__(self, varname, kb, query, width=800, height=600, cid=None):

Canvas.__init__(self, varname, width, height, cid)

self.kb = kb

self.query = query

self.l = 1 / 20

self.b = 3 * self.l

bc_out = list(self.fol_bc_ask())

if len(bc_out) is 0:

self.valid = False

else:

self.valid = True

graph = bc_out[0][0][0]

s = bc_out[0][1]

while True:

new_graph = subst(s, graph)

if graph == new_graph:

break

graph = new_graph

self.make_table(graph)

self.context = None

self.draw_table()

def fol_bc_ask(self):

KB = self.kb

query = self.query

def fol_bc_or(KB, goal, theta):

for rule in KB.fetch_rules_for_goal(goal):

lhs, rhs = parse_definite_clause(standardize_variables(rule))

for theta1 in fol_bc_and(KB, lhs, unify(rhs, goal, theta)):

yield ([(goal, theta1[0])], theta1[1])

def fol_bc_and(KB, goals, theta):

if theta is None:

pass

elif not goals:

yield ([], theta)

else:

first, rest = goals[0], goals[1:]

for theta1 in fol_bc_or(KB, subst(theta, first), theta):

for theta2 in fol_bc_and(KB, rest, theta1[1]):

yield (theta1[0] + theta2[0], theta2[1])

return fol_bc_or(KB, query, {})

def make_table(self, graph):

table = []

pos = {}

links = set()

edges = set()

def dfs(node, depth):

if len(table) <= depth:

table.append([])

pos = len(table[depth])

table[depth].append(node[0])

for child in node[1]:

child_id = dfs(child, depth + 1)

links.add(((depth, pos), child_id))

return (depth, pos)

dfs(graph, 0)

y_off = 0.85 / len(table)

for i, row in enumerate(table):

x_off = 0.95 / len(row)

for j, node in enumerate(row):

pos[(i, j)] = (0.025 + j * x_off + (x_off - self.b) / 2, 0.025 + i * y_off + (y_off - self.l) / 2)

for p, c in links:

x1, y1 = pos[p]

x2, y2 = pos[c]

edges.add((x1 + self.b / 2, y1 + self.l, x2 + self.b / 2, y2))

self.table = table

self.pos = pos

self.edges = edges

def mouse_click(self, x, y):

x, y = x / self.width, y / self.height

for node in self.pos:

xs, ys = self.pos[node]

xe, ye = xs + self.b, ys + self.l

if xs <= x <= xe and ys <= y <= ye:

self.context = node

break

self.draw_table()

def draw_table(self):

self.clear()

self.strokeWidth(3)

self.stroke(0, 0, 0)

self.font("12px Arial")

if self.valid:

# draw nodes

for i, j in self.pos:

x, y = self.pos[(i, j)]

self.fill(200, 200, 200)

self.rect_n(x, y, self.b, self.l)

self.line_n(x, y, x + self.b, y)

self.line_n(x, y, x, y + self.l)

self.line_n(x + self.b, y, x + self.b, y + self.l)

self.line_n(x, y + self.l, x + self.b, y + self.l)

self.fill(0, 0, 0)

self.text_n(self.table[i][j], x + 0.01, y + self.l - 0.01)

# draw edges

for x1, y1, x2, y2 in self.edges:

self.line_n(x1, y1, x2, y2)

else:

self.fill(255, 0, 0)

self.rect_n(0, 0, 1, 1)

# text area

self.fill(255, 255, 255)

self.rect_n(0, 0.9, 1, 0.1)

self.strokeWidth(5)

self.stroke(0, 0, 0)

self.line_n(0, 0.9, 1, 0.9)

self.font("22px Arial")

self.fill(0, 0, 0)

self.text_n(self.table[self.context[0]][self.context[1]] if self.context else "Click for text", 0.025, 0.975)

self.update()

############################################################################################################

##################### Functions to assist plotting in search.ipynb ####################

############################################################################################################

def show_map(graph_data, node_colors=None):

G = nx.Graph(graph_data['graph_dict'])

node_colors = node_colors or graph_data['node_colors']

node_positions = graph_data['node_positions']

node_label_pos = graph_data['node_label_positions']

edge_weights = graph_data['edge_weights']

# set the size of the plot

plt.figure(figsize=(18, 13))

# draw the graph (both nodes and edges) with locations from romania_locations

nx.draw(G, pos={k: node_positions[k] for k in G.nodes()},

node_color=[node_colors[node] for node in G.nodes()], linewidths=0.3, edgecolors='k')

# draw labels for nodes

node_label_handles = nx.draw_networkx_labels(G, pos=node_label_pos, font_size=14)

# add a white bounding box behind the node labels

[label.set_bbox(dict(facecolor='white', edgecolor='none')) for label in node_label_handles.values()]

# add edge lables to the graph

nx.draw_networkx_edge_labels(G, pos=node_positions, edge_labels=edge_weights, font_size=14)

# add a legend

white_circle = lines.Line2D([], [], color="white", marker='o', markersize=15, markerfacecolor="white")

orange_circle = lines.Line2D([], [], color="orange", marker='o', markersize=15, markerfacecolor="orange")

red_circle = lines.Line2D([], [], color="red", marker='o', markersize=15, markerfacecolor="red")

gray_circle = lines.Line2D([], [], color="gray", marker='o', markersize=15, markerfacecolor="gray")

green_circle = lines.Line2D([], [], color="green", marker='o', markersize=15, markerfacecolor="green")

plt.legend((white_circle, orange_circle, red_circle, gray_circle, green_circle),

('Un-explored', 'Frontier', 'Currently Exploring', 'Explored', 'Final Solution'),

numpoints=1, prop={'size': 16}, loc=(.8, .75))

# show the plot. No need to use in notebooks. nx.draw will show the graph itself.

plt.show()

# helper functions for visualisations

def final_path_colors(initial_node_colors, problem, solution):

"Return a node_colors dict of the final path provided the problem and solution."

# get initial node colors

final_colors = dict(initial_node_colors)

# color all the nodes in solution and starting node to green

final_colors[problem.initial] = "green"

for node in solution:

final_colors[node] = "green"

return final_colors

def display_visual(graph_data, user_input, algorithm=None, problem=None):

initial_node_colors = graph_data['node_colors']

if user_input == False:

def slider_callback(iteration):

# don't show graph for the first time running the cell calling this function

try:

show_map(graph_data, node_colors=all_node_colors[iteration])

except:

pass

def visualize_callback(Visualize):

if Visualize is True:

button.value = False

global all_node_colors

iterations, all_node_colors, node = algorithm(problem)

solution = node.solution()

all_node_colors.append(final_path_colors(all_node_colors[0], problem, solution))

slider.max = len(all_node_colors) - 1

for i in range(slider.max + 1):

slider.value = i

# time.sleep(.5)

slider = widgets.IntSlider(min=0, max=1, step=1, value=0)

slider_visual = widgets.interactive(slider_callback, iteration=slider)

display(slider_visual)

button = widgets.ToggleButton(value=False)

button_visual = widgets.interactive(visualize_callback, Visualize=button)

display(button_visual)

if user_input == True:

node_colors = dict(initial_node_colors)

if isinstance(algorithm, dict):

assert set(algorithm.keys()).issubset({"Breadth First Tree Search",

"Depth First Tree Search",

"Breadth First Search",

"Depth First Graph Search",

"Best First Graph Search",

View remainder of file in raw view

aima-python/notebook.py at 8bede286eaa350c7fdcddab7de64c513779f7bc2 · aimacode/aima-python · GitHub

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