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from tkinter import *
import sys
import os.path
import math
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from search import *
from search import breadth_first_tree_search as bfts, depth_first_tree_search as dfts, \
depth_first_graph_search as dfgs, breadth_first_search as bfs
from utils import Stack, FIFOQueue, PriorityQueue
from copy import deepcopy
root = None
city_coord = {}
romania_problem = None
algo = None
start = None
goal = None
counter = -1
city_map = None
frontier = None
front = None
node = None
next_button = None
explored = None
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def create_map(root):
'''
This function draws out the required map.
'''
global city_map, start, goal
romania_locations = romania_map.locations
width = 750
height = 670
margin = 5
city_map = Canvas(root, width=width, height=height)
city_map.pack()
# Since lines have to be drawn between particular points, we need to list
# them separately
make_line(
city_map,
romania_locations['Arad'][0],
height -
romania_locations['Arad'][1],
romania_locations['Sibiu'][0],
height -
romania_locations['Sibiu'][1],
romania_map.get('Arad', 'Sibiu'))
make_line(
city_map,
romania_locations['Arad'][0],
height -
romania_locations['Arad'][1],
romania_locations['Zerind'][0],
height -
romania_locations['Zerind'][1],
romania_map.get('Arad', 'Zerind'))
make_line(
city_map,
romania_locations['Arad'][0],
height -
romania_locations['Arad'][1],
romania_locations['Timisoara'][0],
height -
romania_locations['Timisoara'][1],
romania_map.get('Arad', 'Timisoara'))
make_line(
city_map,
romania_locations['Oradea'][0],
height -
romania_locations['Oradea'][1],
romania_locations['Zerind'][0],
height -
romania_locations['Zerind'][1],
romania_map.get('Oradea', 'Zerind'))
make_line(
city_map,
romania_locations['Oradea'][0],
height -
romania_locations['Oradea'][1],
romania_locations['Sibiu'][0],
height -
romania_locations['Sibiu'][1],
romania_map.get('Oradea', 'Sibiu'))
make_line(
city_map,
romania_locations['Lugoj'][0],
height -
romania_locations['Lugoj'][1],
romania_locations['Timisoara'][0],
height -
romania_locations['Timisoara'][1],
romania_map.get('Lugoj', 'Timisoara'))
make_line(
city_map,
romania_locations['Lugoj'][0],
height -
romania_locations['Lugoj'][1],
romania_locations['Mehadia'][0],
height -
romania_locations['Mehadia'][1],
romania_map.get('Lugoj', 'Mehadia'))
make_line(
city_map,
romania_locations['Drobeta'][0],
height -
romania_locations['Drobeta'][1],
romania_locations['Mehadia'][0],
height -
romania_locations['Mehadia'][1],
romania_map.get('Drobeta', 'Mehadia'))
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make_line(
city_map,
romania_locations['Drobeta'][0],
height -
romania_locations['Drobeta'][1],
romania_locations['Craiova'][0],
height -
romania_locations['Craiova'][1],
romania_map.get('Drobeta', 'Craiova'))
make_line(
city_map,
romania_locations['Pitesti'][0],
height -
romania_locations['Pitesti'][1],
romania_locations['Craiova'][0],
height -
romania_locations['Craiova'][1],
romania_map.get('Pitesti', 'Craiova'))
make_line(
city_map,
romania_locations['Rimnicu'][0],
height -
romania_locations['Rimnicu'][1],
romania_locations['Craiova'][0],
height -
romania_locations['Craiova'][1],
romania_map.get('Rimnicu', 'Craiova'))
make_line(
city_map,
romania_locations['Rimnicu'][0],
height -
romania_locations['Rimnicu'][1],
romania_locations['Sibiu'][0],
height -
romania_locations['Sibiu'][1],
romania_map.get('Rimnicu', 'Sibiu'))
make_line(
city_map,
romania_locations['Rimnicu'][0],
height -
romania_locations['Rimnicu'][1],
romania_locations['Pitesti'][0],
height -
romania_locations['Pitesti'][1],
romania_map.get('Rimnicu', 'Pitesti'))
make_line(
city_map,
romania_locations['Bucharest'][0],
height -
romania_locations['Bucharest'][1],
romania_locations['Pitesti'][0],
height -
romania_locations['Pitesti'][1],
romania_map.get('Bucharest', 'Pitesti'))
make_line(
city_map,
romania_locations['Fagaras'][0],
height -
romania_locations['Fagaras'][1],
romania_locations['Sibiu'][0],
height -
romania_locations['Sibiu'][1],
romania_map.get('Fagaras', 'Sibiu'))
make_line(
city_map,
romania_locations['Fagaras'][0],
height -
romania_locations['Fagaras'][1],
romania_locations['Bucharest'][0],
height -
romania_locations['Bucharest'][1],
romania_map.get('Fagaras', 'Bucharest'))
make_line(
city_map,
romania_locations['Giurgiu'][0],
height -
romania_locations['Giurgiu'][1],
romania_locations['Bucharest'][0],
height -
romania_locations['Bucharest'][1],
romania_map.get('Giurgiu', 'Bucharest'))
make_line(
city_map,
romania_locations['Urziceni'][0],
height -
romania_locations['Urziceni'][1],
romania_locations['Bucharest'][0],
height -
romania_locations['Bucharest'][1],
romania_map.get('Urziceni', 'Bucharest'))
make_line(
city_map,
romania_locations['Urziceni'][0],
height -
romania_locations['Urziceni'][1],
romania_locations['Hirsova'][0],
height -
romania_locations['Hirsova'][1],
romania_map.get('Urziceni', 'Hirsova'))
make_line(
city_map,
romania_locations['Eforie'][0],
height -
romania_locations['Eforie'][1],
romania_locations['Hirsova'][0],
height -
romania_locations['Hirsova'][1],
romania_map.get('Eforie', 'Hirsova'))
make_line(
city_map,
romania_locations['Urziceni'][0],
height -
romania_locations['Urziceni'][1],
romania_locations['Vaslui'][0],
height -
romania_locations['Vaslui'][1],
romania_map.get('Urziceni', 'Vaslui'))
make_line(
city_map,
romania_locations['Iasi'][0],
height -
romania_locations['Iasi'][1],
romania_locations['Vaslui'][0],
height -
romania_locations['Vaslui'][1],
romania_map.get('Iasi', 'Vaslui'))
make_line(
city_map,
romania_locations['Iasi'][0],
height -
romania_locations['Iasi'][1],
romania_locations['Neamt'][0],
height -
romania_locations['Neamt'][1],
romania_map.get('Iasi', 'Neamt'))
for city in romania_locations.keys():
make_rectangle(
city_map,
romania_locations[city][0],
height -
romania_locations[city][1],
margin,
city)
make_legend(city_map)
def make_line(map, x0, y0, x1, y1, distance):
'''
This function draws out the lines joining various points.
'''
map.create_line(x0, y0, x1, y1)
map.create_text((x0 + x1) / 2, (y0 + y1) / 2, text=distance)
def make_rectangle(map, x0, y0, margin, city_name):
'''
This function draws out rectangles for various points.
'''
global city_coord
rect = map.create_rectangle(
x0 - margin,
y0 - margin,
x0 + margin,
y0 + margin,
fill="white")
if "Bucharest" in city_name or "Pitesti" in city_name or "Lugoj" in city_name \
or "Mehadia" in city_name or "Drobeta" in city_name:
map.create_text(
x0 - 2 * margin,
y0 - 2 * margin,
text=city_name,
anchor=E)
else:
map.create_text(
x0 - 2 * margin,
y0 - 2 * margin,
text=city_name,
anchor=SE)
city_coord.update({city_name: rect})
def make_legend(map):
rect1 = map.create_rectangle(600, 100, 610, 110, fill="white")
text1 = map.create_text(615, 105, anchor=W, text="Un-explored")
rect2 = map.create_rectangle(600, 115, 610, 125, fill="orange")
text2 = map.create_text(615, 120, anchor=W, text="Frontier")
rect3 = map.create_rectangle(600, 130, 610, 140, fill="red")
text3 = map.create_text(615, 135, anchor=W, text="Currently Exploring")
rect4 = map.create_rectangle(600, 145, 610, 155, fill="grey")
text4 = map.create_text(615, 150, anchor=W, text="Explored")
rect5 = map.create_rectangle(600, 160, 610, 170, fill="dark green")
text5 = map.create_text(615, 165, anchor=W, text="Final Solution")
def tree_search(problem):
'''
Search through the successors of a problem to find a goal.
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The argument frontier should be an empty queue.
Don't worry about repeated paths to a state. [Figure 3.7]
This function has been changed to make it suitable for the Tkinter GUI.
'''
global counter, frontier, node
# print(counter)
if counter == -1:
frontier.append(Node(problem.initial))
# print(frontier)
display_frontier(frontier)
if counter % 3 == 0 and counter >= 0:
node = frontier.pop()
# print(node)
display_current(node)
if counter % 3 == 1 and counter >= 0:
if problem.goal_test(node.state):
# print(node)
return node
frontier.extend(node.expand(problem))
# print(frontier)
display_frontier(frontier)
if counter % 3 == 2 and counter >= 0:
# print(node)
display_explored(node)
return None
def graph_search(problem):
'''
Search through the successors of a problem to find a goal.
The argument frontier should be an empty queue.
If two paths reach a state, only use the first one. [Figure 3.7]
This function has been changed to make it suitable for the Tkinter GUI.
'''
global counter, frontier, node, explored
if counter == -1:
frontier.append(Node(problem.initial))
explored = set()
# print("Frontier: "+str(frontier))
if counter % 3 == 0 and counter >= 0:
# print("Current node: "+str(node))
display_current(node)
if counter % 3 == 1 and counter >= 0:
if problem.goal_test(node.state):
return node
explored.add(node.state)
frontier.extend(child for child in node.expand(problem)
if child.state not in explored and
child not in frontier)
# print("Frontier: " + str(frontier))
display_frontier(frontier)
if counter % 3 == 2 and counter >= 0:
# print("Explored node: "+str(node))
display_explored(node)
return None
def display_frontier(queue):
'''
This function marks the frontier nodes (orange) on the map.
'''
global city_map, city_coord
qu = deepcopy(queue)
while qu:
node = qu.pop()
for city in city_coord.keys():
if node.state == city:
city_map.itemconfig(city_coord[city], fill="orange")
def display_current(node):
'''
This function marks the currently exploring node (red) on the map.
'''
global city_map, city_coord
city = node.state
city_map.itemconfig(city_coord[city], fill="red")
def display_explored(node):
'''
This function marks the already explored node (gray) on the map.
'''
global city_map, city_coord
city = node.state
city_map.itemconfig(city_coord[city], fill="gray")
def display_final(cities):
'''
This function marks the final solution nodes (green) on the map.
'''
global city_map, city_coord
for city in cities:
city_map.itemconfig(city_coord[city], fill="green")
def breadth_first_tree_search(problem):
"""Search the shallowest nodes in the search tree first."""
global frontier, counter
if counter == -1:
frontier = FIFOQueue()
return tree_search(problem)
def depth_first_tree_search(problem):
"""Search the deepest nodes in the search tree first."""
# This search algorithm might not work in case of repeated paths.
global frontier, counter
frontier = Stack()
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def breadth_first_search(problem):
"""[Figure 3.11]"""
global frontier, node, explored, counter
if counter == -1:
node = Node(problem.initial)
display_current(node)
if problem.goal_test(node.state):
return node
frontier = FIFOQueue()
frontier.append(node)
display_frontier(frontier)
explored = set()
if counter % 3 == 0 and counter >= 0:
node = frontier.pop()
display_current(node)
explored.add(node.state)
if counter % 3 == 1 and counter >= 0:
for child in node.expand(problem):
if child.state not in explored and child not in frontier:
if problem.goal_test(child.state):
return child
frontier.append(child)
display_frontier(frontier)
if counter % 3 == 2 and counter >= 0:
display_explored(node)
return None
def depth_first_graph_search(problem):
"""Search the deepest nodes in the search tree first."""
global frontier, counter
if counter == -1:
frontier = Stack()
return graph_search(problem)
# TODO:
# Remove redundant code.
# Make the interchangbility work between various algorithms at each step.
def on_click():
'''
This function defines the action of the 'Next' button.
'''
global algo, counter, next_button, romania_problem, start, goal
romania_problem = GraphProblem(start.get(), goal.get(), romania_map)
if "Breadth-First Tree Search" == algo.get():
node = breadth_first_tree_search(romania_problem)
if node is not None:
final_path = bfts(romania_problem).solution()
final_path.append(start.get())
display_final(final_path)
next_button.config(state="disabled")
counter += 1
elif "Depth-First Tree Search" == algo.get():
node = depth_first_tree_search(romania_problem)
if node is not None:
final_path = dfts(romania_problem).solution()
final_path.append(start.get())
display_final(final_path)
next_button.config(state="disabled")
counter += 1
elif "Breadth-First Search" == algo.get():
node = breadth_first_search(romania_problem)
if node is not None:
final_path = bfs(romania_problem).solution()
final_path.append(start.get())
display_final(final_path)
next_button.config(state="disabled")
counter += 1
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elif "Depth-First Graph Search" == algo.get():
node = depth_first_graph_search(romania_problem)
if node is not None:
final_path = dfgs(romania_problem).solution()
final_path.append(start.get())
display_final(final_path)
next_button.config(state="disabled")
counter += 1
def reset_map():
global counter, city_coord, city_map, next_button
counter = -1
for city in city_coord.keys():
city_map.itemconfig(city_coord[city], fill="white")
next_button.config(state="normal")
# TODO: Add more search algorithms in the OptionMenu
def main():
global algo, start, goal, next_button
root = Tk()
root.title("Road Map of Romania")
root.geometry("950x1150")
algo = StringVar(root)
start = StringVar(root)
goal = StringVar(root)
algo.set("Breadth-First Tree Search")
start.set('Arad')
goal.set('Bucharest')
cities = sorted(romania_map.locations.keys())
algorithm_menu = OptionMenu(
root,
algo, "Breadth-First Tree Search", "Depth-First Tree Search",
"Breadth-First Search", "Depth-First Graph Search")
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Label(root, text="\n Search Algorithm").pack()
algorithm_menu.pack()
Label(root, text="\n Start City").pack()
start_menu = OptionMenu(root, start, *cities)
start_menu.pack()
Label(root, text="\n Goal City").pack()
goal_menu = OptionMenu(root, goal, *cities)
goal_menu.pack()
frame1 = Frame(root)
next_button = Button(
frame1,
width=6,
height=2,
text="Next",
command=on_click,
padx=2,
pady=2,
relief=GROOVE)
next_button.pack(side=RIGHT)
reset_button = Button(
frame1,
width=6,
height=2,
text="Reset",
command=reset_map,
padx=2,
pady=2,
relief=GROOVE)
reset_button.pack(side=RIGHT)
frame1.pack(side=BOTTOM)
create_map(root)
root.mainloop()
if __name__ == "__main__":
main()