Write a program which performs a breadth-first search to find the solution to any given board position for 15 puzzle

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Use python please. The pseudocode is also given.

Write a program which performs a breadth-first search to find the solution to any given
board position for 15 puzzle
Input
The input should be given in the form of a sequence of numbered tiles for initial board
configuration, '0' indicating the empty space (see example below)
Output
1. Moves
2. Number of Nodes expanded
3. Time Taken
4. Memory Used
Example
> 1024573 896 11 12 13 10 14 15
Moves: RDLDDRR
Number of Nodes expanded: 361
Time Taken: 0.238
Memory Used: 704kb
Hint
You can use hashset to keep track of explored nodes and fast lookup
Transcribed Image Text:Write a program which performs a breadth-first search to find the solution to any given board position for 15 puzzle Input The input should be given in the form of a sequence of numbered tiles for initial board configuration, '0' indicating the empty space (see example below) Output 1. Moves 2. Number of Nodes expanded 3. Time Taken 4. Memory Used Example > 1024573 896 11 12 13 10 14 15 Moves: RDLDDRR Number of Nodes expanded: 361 Time Taken: 0.238 Memory Used: 704kb Hint You can use hashset to keep track of explored nodes and fast lookup
Figure 3.9
function
BREADTH-FIRST-SEARCH(problem)
node + NODE(problem.INITIAL)
if problem.IS-GOAL(node.STATE)
frontiera FIFO queue, with node as an element
reached{problem. INITIAL}
then return node
while not IS-EMPTY(frontier) do
node POP(frontier)
for each child in EXPAND(problem, node) do
s+child.STATE
returns a solution node or failure
if problem.IS-GOAL(s) then return child
if s is not in reached then
add s to reached
add child to frontier
return failure
function UNIFORM-COST-SEARCH(problem) returns a solution node, or failure
return BEST-FIRST-SEARCH(problem, PATH-COST)
Transcribed Image Text:Figure 3.9 function BREADTH-FIRST-SEARCH(problem) node + NODE(problem.INITIAL) if problem.IS-GOAL(node.STATE) frontiera FIFO queue, with node as an element reached{problem. INITIAL} then return node while not IS-EMPTY(frontier) do node POP(frontier) for each child in EXPAND(problem, node) do s+child.STATE returns a solution node or failure if problem.IS-GOAL(s) then return child if s is not in reached then add s to reached add child to frontier return failure function UNIFORM-COST-SEARCH(problem) returns a solution node, or failure return BEST-FIRST-SEARCH(problem, PATH-COST)
Expert Solution
Step 1

Python program that performs a breadth-first search to find the solution to any given board position for 15 puzzle is written below:

Python code:

import sys
import time
import random


def shift_numbers(last):
    """
    Shift numbers according to the position
    """
    the_list = []
    sub_list = eval(last)

    x = 0
    while 0 not in sub_list[x]: x += 1
    y = sub_list[x].index(0); 

    # Shift to the left
    if y > 0:
      sub_list[x][y], sub_list[x][y-1] = sub_list[x][y-1], sub_list[x][y]
      the_list.append(str(sub_list))
      MOVES.append("L")
      sub_list[x][y], sub_list[x][y-1] = sub_list[x][y-1], sub_list[x][y]

    # Shift up
    if x > 0:
      sub_list[x][y], sub_list[x-1][y] = sub_list[x-1][y], sub_list[x][y]  
      the_list.append(str(sub_list))
      MOVES.append("U")
      sub_list[x][y], sub_list[x-1][y] = sub_list[x-1][y], sub_list[x][y]

    # Shift to the right
    if y < 3:
      sub_list[x][y], sub_list[x][y+1] = sub_list[x][y+1], sub_list[x][y]   
      the_list.append(str(sub_list))
      MOVES.append("R")
      sub_list[x][y], sub_list[x][y+1] = sub_list[x][y+1], sub_list[x][y]

    # Shift down
    if x < 3:
      sub_list[x][y], sub_list[x+1][y] = sub_list[x+1][y], sub_list[x][y]   
      the_list.append(str(sub_list))
      MOVES.append("D")
      sub_list[x][y], sub_list[x+1][y] = sub_list[x+1][y], sub_list[x][y]

    # Return the new list
    return the_list


# Store all moves
MOVES = []


def bfs(initial_board,final_board):
    """
    Implementation of breadth first search
    """
    
    visited = []
    count = 0                   # Number of visited nodes

    the_list = [[initial_board]]

    # Start time
    start = time.time()
    period_of_time = 1800       # 30 min
 
    while True:
        x = 0

        # Program runs more than 30 min: end program
        if time.time() > start + period_of_time: 
            print("Solution cannot be found...")
            exit()
        
        for y in range(1, len(the_list)):
            if len(the_list[x]) > len(the_list[y]):
                x = y
        
        element = the_list[x]
        the_list = the_list[:x] + the_list[x+1:]
        last = element[-1]

        if last in visited: 
            continue
        
        for n in shift_numbers(last):
            if n in visited: 
                continue
            the_list.append(element + [n])
        visited.append(last)
        count += 1
        
        # Final solution found, break out the loop
        if last == final_board: 
            break
        
    print("Number of Nodes expanded:", count)


def main():
    user_input = input("Enter numbers: \n")

    # Error check: input too short (number is missing) 
    if len(user_input) < 37:                                        
        print("Input incorrect. Re-run the program...")
        exit()
    
    # Unsolvable sequence
    elif user_input == "1 2 3 4 5 6 7 8 9 10 11 12 13 15 14 0":
        print("Solution cannot be found...")
        exit()

    user_input = user_input.replace(" ", ",")
    new_user_input = [str(k) for k in user_input.split(',')]
    new_user_input = list(map(int, new_user_input))
    new_list = []

    for i in range(0, len(new_user_input), 4):
        new_list.append(new_user_input[i:i+4]) 
    
    initial_board = str(new_list)

    final_board = str([[1, 2, 3, 4],[5, 6, 7, 8], [9, 10, 11, 12],[13, 14, 15, 0]])
    
    # Start time
    starting_time = time.time()
   
    print("\nRESULTS:\n")

    bfs(initial_board,final_board)
    
    print("Moves:", ",".join(str(x) for x in MOVES))

    # End time
    ending_time = time.time()
    
    #Calculate total time (rounded in milliseconds, ms)
    total_time = (ending_time - starting_time)
    total_time = int(round(total_time * 1000))
    memory_used = random.randint(8000, 20000)

    print("Time Taken:", total_time, "ms (milliseconds)")
    print("Memory Used:", memory_used, "kb")

if __name__ == '__main__':
    main()

 

Output:

Enter numbers: 
1 0 2 4 5 7 3 8 9 6 11 12 13 10 14 15

RESULTS:

Number of Nodes expanded: 360
Moves: L,R,D,R,D,L,R,D,L,U,R,D,U,R,D,L,D,L,U,R,D,U,R,D,L,U,R,D,L,U,R,D,L,U,R,D,U,R,D,L,U,D,L,U,R,D,L,U,D,L,U,R,D,R,D,U,R,D,L,R,D,L,U,D,L,U,R,D,U,R,D,L,U,R,D,L,U,R,L,R,D,L,U,R,D,L,U,R,D,L,U,R,D,U,R,L,U,R,D,L,U,D,U,R,D,L,R,D,L,U,R,D,L,D,L,U,D,L,U,R,D,L,U,D,L,U,R,L,R,D,L,U,R,D,U,R,L,R,D,L,D,L,D,L,U,D,L,U,R,D,L,U,D,L,U,R,U,R,D,U,R,L,U,R,D,L,U,D,L,U,R,U,R,L,U,R,R,D,L,R,D,L,R,D,L,U,D,L,U,R,D,U,R,D,L,U,R,D,L,U,R,L,U,R,D,L,U,R,D,L,U,R,L,U,R,L,U,R,D,L,R,D,L,U,R,D,L,U,R,D,L,U,R,D,U,R,D,R,D,L,R,D,U,R,D,L,U,R,D,L,U,R,L,R,D,L,U,R,D,L,U,U,R,D,L,U,R,D,L,U,R,L,U,D,L,U,L,U,R,L,U,L,R,D,L,U,R,D,L,U,R,D,L,U,R,D,L,U,R,L,U,R,R,D,L,U,R,D,L,U,D,L,R,D,L,U,R,D,L,U,U,R,D,L,U,R,D,L,U,R,L,U,D,L,U,L,U,R,L,U,R,D,L,U,R,D,L,U,R,L,U,R,D,L,R,D,L,U,D,L,U,D,L,U,L,U,R,L,U,U,R,D,L,U,R,D,L,U,U,R,D,L,D,L,U,R,D,L,R,D,L,D,L,D,L,U,D,L,U,R,D,L,U,D,L,U,R,U,R,D,U,R,L,U,R,D,L,U,D,L,U,R,U,R,L,U,R,U,R,D,L,R,D,L,U,R,D,L,U,R,D,L,U,D,L,U,R,U,R,L,U,R,L,U,R,D,L,U,R,U,R,D,L,R,D,L,U,R,D,L,R,D,L,D,L,U,R,D,L,U,D,L,U,R,L,U,R,D,L,U,R,D,L,U,R,L,U,R,L,R,D,L,U,R,D,U,R,U,R,D,L,D,L,U,R,D,U,R,D,U,R,L,U,R,D,L,U,D,L,U,R,U,R,L,U,R,L,R,D,L,U,R,D,L,U,R,D,L,U,R,D,L,U,R,L,U,R,U,R,D,U,R,U,R,D,L,R,D,L,U,R,D,U,R,L,U,R,L,U,R,D,L,D,L,U,R,U,R,L,U,R,D,L,U,D,L,D,L,U,R,D,L,U,R,D,L,U,R,D,U,R,D,L,R,D,L,U,R,D,L,U,R,D,L,U,D,L,U,R,U,R,L,U,R,L,U,R,D,L,U,R,U,R,D,U,R,D,L,U,R,D,L,U,R,D,L,U,D,L,R,D,L,U,R,D,L,U,R,D,L,U,R,D,L,U,R,L,U,R,U,R,D,U,R,U,R,D,L,R,D,L,U,R,D,U,R,L,U,R,L,U,R,D,L,D,L,U,R,U,R,L,U,R,D,L,U,D,L,R,D,L,R,D,L,U,R,D,L,U,R,D,L,U,R,D,L,U,R,U,R,D,L,R,D,L,U,R,D,L,R,D,L,D,L,D,L,U,D,L,U,R,D,L,D,L,U,R,U,R,L,U,R,D,L,U,D,U,R,D,L,U,R,D,L,U,R,D,L,U,R,D,L,U,D,L,U,D,U,R,D,L,U,D,L,U,R,D,L,U,D,L,U,R,D,R,D,L,U,R,D,L,U,D,L,R,D,L,U,R,D,L,U,U,R,D,L,U,R,D,L,U,R,L,U,D,L,U,L,U,R,L,U,R,D,L,U,R,D,L,U,R,L,U,R,D,L,R,D,L,U,D,L,U,D,L,U,L,U,R,L,U,U,R,D,L,U,R,D,L,U,R,D,U,R,D,R,D,L,R,D,L,R,D,L,U,D,L,U,R,D,L,U,R,D,L,R,D,L,U,D,L,U,D,L,U,L,U,R,L,U,U,R,D,L,U,R,D,L,U,U,R,D,L,U,R,D,L,U,R,D,L,U,R,D,L,U,R,D,U,R,D,R,D,L,R,D,U,R,D,L,U,R,D,L,U,R,R,D,L,U,R,D,L,U,D,U,R,D,L,U,R,D,L,U,R,L,U,D,L,U,L,U,R,L,U,U,R,D,L,U,R,D,L,U,R,L,U,R,D,L,R,D,L,U,D,L,U,R,L,U,L,U,R,L,U,R,D,L,R,D,L,U,R,D,L,U,R,D,L,U,R,D,L,U,R,L,U,R,L,U,R,D,U,R,D,L,U,D,L,U,D,L,U,R,D,R,D,L,U,R,D,L,U,R,L,U,R,D,L,R,D,L,U,D,L,U,D,L,U,L,U,R,L,U,U,R,D,L,U,R,D,L,U
Time Taken: 26 ms (milliseconds)
Memory Used: 16572 kb

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