LO CODE A
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
Related questions
Question
LO CODE ASP.
![Use python
This is also with the question
# please specify manhattan distance or misplaced tiles as the heuristic function
class Search:
def goal_test(self, cur_tiles):
return cur_tiles == ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '0']
def solve(self, initial state, heuristic = "manhattan"): # Format : "102457389611 12 13 10 14
15"
initial_list = initial_state.split("")
DEOPOR
Please use this as a reference.
if heuristic == "manhattan":
solution_moves = run_bfs_manhattan_distance(initial_list)
if heuristic == "misplaced tiles":
solution_moves = run_bfs_manhattan_distance(initial_list)
000000
print("Moves: " +" ".join(path))
print("Number of expanded Nodes: " + str(""))
print("Time Taken: " + str(""))
print("Max Memory (Bytes): " + str(""))
return ".join(path) # Get the list of moves to solve the puzzle. Format is "RDLDDRR"
if __name__ == '__main__':
agent = Search()](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0f5c5f23-a9b8-425c-937b-50b7f4401bb1%2F9e065835-5cb6-47fe-a5e7-80c5d6b799c4%2Fgaursra_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Use python
This is also with the question
# please specify manhattan distance or misplaced tiles as the heuristic function
class Search:
def goal_test(self, cur_tiles):
return cur_tiles == ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '0']
def solve(self, initial state, heuristic = "manhattan"): # Format : "102457389611 12 13 10 14
15"
initial_list = initial_state.split("")
DEOPOR
Please use this as a reference.
if heuristic == "manhattan":
solution_moves = run_bfs_manhattan_distance(initial_list)
if heuristic == "misplaced tiles":
solution_moves = run_bfs_manhattan_distance(initial_list)
000000
print("Moves: " +" ".join(path))
print("Number of expanded Nodes: " + str(""))
print("Time Taken: " + str(""))
print("Max Memory (Bytes): " + str(""))
return ".join(path) # Get the list of moves to solve the puzzle. Format is "RDLDDRR"
if __name__ == '__main__':
agent = Search()
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