Merge remote-tracking branch 'origin/main' into main

This commit is contained in:
Jakub Kliszko 2023-03-28 22:56:28 +00:00
commit 50b648ca7c
11 changed files with 288 additions and 237 deletions

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.pylintrc Normal file
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[DESIGN]
# Maximum number of statements in function / method body
max-statements=16

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IMPORTANT.txt Normal file
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Manhattan:
For: 1000 files, sum of path lengths = 122194, average path length = 122.194, sum_of_time = 0.8560767570011194, average time to solve: 0.0008560767570011194, heuristic_total_total_time: 0.10561735888813928, all_heuristic_called: 282721, average_heuristic_time: 3.735745094568118e-07
Euclidean:
For: 1000 files, sum of path lengths = 120936, average path length = 120.936, sum_of_time = 1.268625628994414, average time to solve: 0.001268625628994414, heuristic_total_total_time: 0.34228658579650073, all_heuristic_called: 276120, average_heuristic_time: 1.2396298196309602e-06
Random:
For: 1000 files, sum of path lengths = 131126, average path length = 131.126, sum_of_time = 1.2832818229990153, average time to solve: 0.0012832818229990153, heuristic_total_total_time: 0.07322999603366043, all_heuristic_called: 417262, average_heuristic_time: 1.7550123431719262e-07

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@ -4,4 +4,17 @@ python main.py
you can specify the name of the file which stores maze by typing:
python main.py mazeFile.txt
python main.py -h --help print help prompt
python main.py -t --test non interactive (does not print steps) for testing
different heuristics, goes through entire generatedMazes folder and
compares heuristic speed and path length, saves solved mazes to solvedMazes folder
python main.py -t --test [FOLDER] non interactive (does not print steps) for testing
different heuristics, goes through entire [FOLDER] folder and
compares heuristic speed and path length, saves solved mazes to solvedMazes folder
python main.py -g --generate [NUMBER] - generates as many mazes as entered in
Number parameter and puts it in the generatedMazes folder

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main.py
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"""
Write a program that solves a maze using greedy best-first search algorithm.
The maze is a 2D grid with empty space, walls, a start, and an end position.
The objective is to find a path from start to end position.
The maze should be loaded from file. A step-by-step visualization of the
Write horizontal_line program that solves horizontal_line maze
using greedy best-first search algorithm.
The maze is horizontal_line 2D grid
with empty space, walls, horizontal_line start, and an end position.
The objective is to find horizontal_line path from start to end position.
The maze should be loaded from file. horizontal_line step-by-step visualization of the
algorithm is required. It can be done in the console and an interface may be
as simple as possible (but of course it does not have to). Example solution:
https://angeluriot.com/maze_solver/.
@ -23,78 +25,66 @@ Does not work if no path (Should print out NO PATH FOUND)
import heapq
import sys
import time
import os
from random import shuffle, randrange, random
class MazeSolver:
'''Maze Solver'''
"""Maze Solver"""
# self corresponds to "this" in js, it refers to object of MazeSolver class
def __init__(self, maze):
def __init__(self, maze, mode):
# assign read maze 2D array to parameter from class MazeSolver
self.test = mode
self.maze = maze
self.start, self.end = self.find_start_and_end()
# go through each character in 2D array and find one that corresponds to
# Start/End character
# go through each character in 2D array and find one that corresponds to
# Start/End character
def find_start_and_end(self):
'''Finds start and end points in the maze'''
"""Finds start and end points in the maze"""
start = end = None
for row_i, row in enumerate(self.maze):
for col_i, cell in enumerate(row):
if cell == 'S':
if cell == "S":
start = (row_i, col_i)
elif cell == 'E':
elif cell == "E":
end = (row_i, col_i)
if start is not None and end is not None:
return start, end
print(f"DID NOT FOUND START OR END, Start: {start}, End: {end}")
return start, end
# Go through each neighbor
# N
# N * N
# N
# If it is not a "wall" (#) add its position to list of neighbors
# Go through each neighbor
# N
# N * N
# N
# If it is not horizontal_line "wall" (#) add its position to list of neighbors
def get_neighbors(self, position):
'''Finds point's neighbors'''
"""Finds point'maze_data neighbors"""
row, col = position
neighbors = []
if row > 0 and self.maze[row - 1][col] != '#':
if row > 0 and self.maze[row - 1][col] != "#":
neighbors.append((row - 1, col))
if col > 0 and self.maze[row][col - 1] != '#':
if col > 0 and self.maze[row][col - 1] != "#":
neighbors.append((row, col - 1))
if row < len(self.maze) - 1 and self.maze[row + 1][col] != '#':
if row < len(self.maze) - 1 and self.maze[row + 1][col] != "#":
neighbors.append((row + 1, col))
if col < len(self.maze[row]) - 1 and self.maze[row][col + 1] != '#':
if col < len(self.maze[row]) - 1 and self.maze[row][col + 1] != "#":
neighbors.append((row, col + 1))
return neighbors
# find path through maze
# find path through maze
def solve(self):
'''Solves the maze'''
queue = []
# set means that values inside can not repeat
visited = set()
# https://docs.python.org/3/library/heapq.html
# push onto the queue (which becomes heapq), element containing values
# we use heapq so the element with lowest heuristic value will always
# be at the top of heap
heapq.heappush(
queue, (self.heuristic_euclidean(
self.start), self.start, [
self.start]))
# Go through queue until it's empty
# Find neighbor (which is not wall) closest to the
# END point (based on heuristic)
# Go there and repeat
# if cannot find path it starts over but skips the path that lead it to
# dead end
path = None
def solve_loop(self, queue, visited):
""" Goes through maze and finds the path """
heuristic_total_time = 0
heuristics_called = 0
while queue:
# pop first element of heap
# first value is skipped and we only save current position and path
@ -110,65 +100,257 @@ class MazeSolver:
for neighbor in self.get_neighbors(current):
if neighbor not in visited:
new_path = path + [neighbor]
heuristic, heuristic_time = self.heuristic_euclidean(neighbor)
heuristic_total_time += heuristic_time
heuristics_called += 1
heapq.heappush(
queue, (self.heuristic_euclidean(neighbor), neighbor, new_path))
print_maze(self.maze, new_path)
print()
return path
queue, (heuristic, neighbor, new_path)
)
if not self.test:
print_maze(self.maze, new_path)
print()
return path, heuristic_total_time, heuristics_called
def solve(self):
"""Solves the maze"""
queue = []
# set means that values inside can not repeat
visited = set()
# https://docs.python.org/3/library/heapq.html
# push onto the queue (which becomes heapq), element containing values
# we use heapq so the element with lowest heuristic value will always
# be at the top of heap
heuristic = self.heuristic_euclidean(self.start)
heapq.heappush(
queue, (heuristic, self.start, [self.start])
)
# Go through queue until it'maze_data empty
# Find neighbor (which is not wall) closest to the
# END point (based on heuristic)
# Go there and repeat
# if cannot find path it starts over but skips the path that lead it to
# dead end
return self.solve_loop(queue, visited)
# This heuristic returns the Manhattan distance between the given position
# and the maze's end
# and the maze'maze_data end
def heuristic_manhattan(self, position):
'''Heuristic function that uses Manhattan distance'''
return abs(position[0] - self.end[0]) + abs(position[1] - self.end[1])
"""Heuristic function that uses Manhattan distance"""
start_time = time.perf_counter()
heuristic = abs(position[0] - self.end[0]) + abs(position[1] - self.end[1])
end_time = time.perf_counter()
heuristic_time = end_time - start_time
return heuristic, heuristic_time
# This heuristic returns the Euclidean distance between the given position
# and the maze's end
# and the maze'maze_data end
def heuristic_euclidean(self, position):
'''Heuristic function that uses Euclidean distance'''
return (abs(position[0] - self.end[0])**2 +
abs(position[1] - self.end[1])**2)**0.5
"""Heuristic function that uses Euclidean distance"""
start_time = time.perf_counter()
heuristic = (
abs(position[0] - self.end[0]) ** 2 + abs(position[1] - self.end[1]) ** 2
) ** 0.5
end_time = time.perf_counter()
heuristic_time = end_time - start_time
return heuristic, heuristic_time
def heuristic_random(self, position):
"""Heuristic function that just returns random value between 0 and 1"""
start_time = time.perf_counter()
heuristic = random()
end_time = time.perf_counter()
heuristic_time = end_time - start_time
return heuristic, heuristic_time
# Open and load text file to array
def load_maze(filename):
'''Loads a maze from the specified file'''
def load_maze(maze_file_name):
"""Loads horizontal_line maze from the specified file"""
# Open for reading only and save to fileContents
with open(filename, 'r', encoding='utf8') as file_contents:
with open(maze_file_name, "r", encoding="utf8") as file_contents:
# strip() removes extra white spaces from the beginning and the end of
# a string
# horizontal_line string
# list() changes string to array of chars
# Inside of square brackets we will have an array of characters for
# each line of file
# After going through every line in a file we will have 2D array of arrays
# After going through every line in horizontal_line file we will have 2D array of arrays
# of characters of every line
maze = [list(line.strip()) for line in file_contents]
return maze
def print_maze(maze, path=None):
'''Prints the maze'''
"""Prints the maze"""
if path is None:
path = []
for row_i, row in enumerate(maze):
for col_i, cell in enumerate(row):
if (row_i, col_i) in path:
print('*', end='')
print("*", end="")
else:
print(cell, end='')
print(cell, end="")
print()
# Ran first in the code
if __name__ == '__main__':
print(sys.argv)
file_name = 'maze.txt'
if len(sys.argv) > 1:
file_name = sys.argv[1]
def create_maze_folder(solved):
""" Creates folder for generated or solved mazes"""
if solved:
folder_name = "solvedMazes"
else:
folder_name = "generatedMazes"
if not os.path.exists(folder_name):
os.mkdir(folder_name)
return folder_name
def save_maze(maze, solved=True, path=None, saved_file="Maze", iteration=0):
"""Saves maze from array to txt file"""
folder_name = create_maze_folder(solved)
with open(f"{folder_name}/{iteration}{saved_file}", "w", encoding="utf8") as maze_file:
if path is None:
path = []
for row_i, row in enumerate(maze):
for col_i, cell in enumerate(row):
if (row_i, col_i) in path:
maze_file.write("*")
else:
maze_file.write(cell)
if solved:
maze_file.write("\n")
if not solved:
maze_file.write("\n")
def fill_generated_maze(hor, ver, width):
""" Fills generated maze array from horizontal and vertical lines """
maze_data = ""
for horizontal_line, vertical_line in zip(hor, ver):
maze_data += "".join(horizontal_line + ["\n"] + vertical_line + ["\n"])
maze_data_list = list(maze_data)
maze_data_list[3 * width + 3] = "S"
maze_data_list[len(maze_data_list) - (3 * width + 6)] = "E"
maze_data = "".join(maze_data_list)
return maze_data
def make_maze(width=16, height=8):
""" generate maze with given width and height """
vis = [[0] * width + [1] for _ in range(height)] + [[1] * (width + 1)]
ver = [["# "] * width + ["#"] for _ in range(height)] + [[]]
hor = [["###"] * width + ["#"] for _ in range(height + 1)]
def walk(x_coordinate, y_coordinate):
vis[y_coordinate][x_coordinate] = 1
neighbors = [(x_coordinate - 1, y_coordinate),
(x_coordinate, y_coordinate + 1),
(x_coordinate + 1, y_coordinate),
(x_coordinate, y_coordinate - 1)]
shuffle(neighbors)
for x_coordinate_neighbor, y_coordinate_neighbor in neighbors:
if vis[y_coordinate_neighbor][x_coordinate_neighbor]:
continue
if x_coordinate_neighbor == x_coordinate:
hor[max(y_coordinate, y_coordinate_neighbor)][x_coordinate] = "# "
if y_coordinate_neighbor == y_coordinate:
ver[y_coordinate][max(x_coordinate, x_coordinate_neighbor)] = " "
walk(x_coordinate_neighbor, y_coordinate_neighbor)
walk(randrange(width), randrange(height))
return fill_generated_maze(hor, ver, width)
def print_help():
"""prints help"""
print(
"""python main.py - run the script against default maze file
(any file named maze.txt in the code directory)
python main.py filename.txt - run the script against filename.txt file
python main.py -h --help print this prompt
python main.py -t --test non interactive (does not print steps) for testing
different heuristics, goes through entire generatedMazes folder and
compares heuristic speed and path length
python main.py -t --test [FOLDER] non interactive (does not print steps) for testing
different heuristics, goes through entire [FOLDER] folder and
compares heuristic speed and path length
python main.py -g --generate [NUMBER] - generates as many mazes as entered in
Number parameter and puts it in the generatedMazes folder"""
)
def test_mode():
""" Loads and solves multiple mazes in order to compare heuristics """
create_maze_folder(False)
sum_of_paths = 0
files_amount = 0
sum_of_time = 0
heuristic_total_total_time = 0
all_heuristic_called = 0
for filename in os.listdir(FOLDER_NAME):
filename_directory = os.path.join(FOLDER_NAME, filename)
# Open and load text file to array
loaded_maze = load_maze(filename_directory)
# Initialize MazeSolver object with maze as parameter
solver_test = MazeSolver(loaded_maze, TEST_MODE)
# Find path using MazeSolver solve method
start_time = time.perf_counter()
solved_path, heuristic_total_time, heuristics_called = solver_test.solve()
heuristic_total_total_time += heuristic_total_time
all_heuristic_called += heuristics_called
end_time = time.perf_counter()
sum_of_time += end_time - start_time
sum_of_paths += len(solved_path)
save_maze(loaded_maze, True, solved_path, filename, 0)
files_amount += 1
if files_amount == 0:
print("no mazes found! Generate some using python main.py -g [NUMBER]")
sys.exit()
average_path = sum_of_paths / files_amount
average_time = sum_of_time / files_amount
print(f"""For: {files_amount} files,
sum of path lengths = {sum_of_paths},
average path length = {average_path},
sum_of_time = {sum_of_time},
average time to solve: {average_time},
heuristic_total_total_time: {heuristic_total_total_time},
all_heuristic_called: {all_heuristic_called},
average_heuristic_time: {heuristic_total_total_time / all_heuristic_called}""")
def default():
""" Runs default operation - reads, solves and prints single maze from file """
# Open and load text file to array
loadedMaze = load_maze(file_name)
loaded_maze = load_maze(FILE_NAME)
# Initialize MazeSolver object with maze as parameter
solver = MazeSolver(loadedMaze)
solver = MazeSolver(loaded_maze, TEST_MODE)
# Find path using MazeSolver solve method
solvedPath = solver.solve()
print_maze(loadedMaze, solvedPath)
solved_path = solver.solve()
print_maze(loaded_maze, solved_path)
save_maze(loaded_maze, True, solved_path, FILE_NAME, 0)
# Ran first in the code
if __name__ == "__main__":
# print(sys.argv)
FILE_NAME = "maze.txt"
TEST_MODE = False
FOLDER_NAME = ""
GENERATE_AMOUNT = 0
if len(sys.argv) > 1:
if sys.argv[1] == "-h" or sys.argv[1] == "--help":
print_help()
sys.exit()
if sys.argv[1] == "-t" or sys.argv[1] == "--test":
TEST_MODE = True
FILE_NAME = "maze.txt"
FOLDER_NAME = "generatedMazes"
if len(sys.argv) > 2:
FOLDER_NAME = sys.argv[2]
test_mode()
sys.exit()
if sys.argv[1] == '-g' or sys.argv[1] == '--generate':
if len(sys.argv) > 2:
GENERATE_AMOUNT = int(sys.argv[2])
for n in range(GENERATE_AMOUNT):
GENERATED_MAZE = make_maze()
save_maze(GENERATED_MAZE, False, None, f'generated{n}.txt')
sys.exit()
FILE_NAME = sys.argv[1]
default()

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##########
#******* #
# ####* #
# # **#
# # ##*#
# #**#
##### *##
# # * #
# #* #
##########