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https://github.com/kuhyx/WUT_Computer_Science.git
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Merge remote-tracking branch 'origin/main' into main
This commit is contained in:
commit
50b648ca7c
3
.pylintrc
Normal file
3
.pylintrc
Normal file
@ -0,0 +1,3 @@
|
||||
[DESIGN]
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# Maximum number of statements in function / method body
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max-statements=16
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8
IMPORTANT.txt
Normal file
8
IMPORTANT.txt
Normal file
@ -0,0 +1,8 @@
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Manhattan:
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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
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Euclidean:
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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
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Random:
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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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13
README.txt
13
README.txt
@ -4,4 +4,17 @@ python main.py
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you can specify the name of the file which stores maze by typing:
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python main.py mazeFile.txt
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python main.py -h --help print help prompt
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python main.py -t --test non interactive (does not print steps) for testing
|
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different heuristics, goes through entire generatedMazes folder and
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compares heuristic speed and path length, saves solved mazes to solvedMazes folder
|
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|
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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
|
||||
|
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python main.py -g --generate [NUMBER] - generates as many mazes as entered in
|
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Number parameter and puts it in the generatedMazes folder
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|
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|
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|
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326
main.py
326
main.py
@ -1,8 +1,10 @@
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"""
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Write a program that solves a maze using greedy best-first search algorithm.
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The maze is a 2D grid with empty space, walls, a start, and an end position.
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The objective is to find a path from start to end position.
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The maze should be loaded from file. A step-by-step visualization of the
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Write horizontal_line program that solves horizontal_line maze
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using greedy best-first search algorithm.
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The maze is horizontal_line 2D grid
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with empty space, walls, horizontal_line start, and an end position.
|
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The objective is to find horizontal_line path from start to end position.
|
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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/.
|
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@ -23,78 +25,66 @@ Does not work if no path (Should print out NO PATH FOUND)
|
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|
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import heapq
|
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import sys
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import time
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import os
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from random import shuffle, randrange, random
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|
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|
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class MazeSolver:
|
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'''Maze Solver'''
|
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"""Maze Solver"""
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# self corresponds to "this" in js, it refers to object of MazeSolver class
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|
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def __init__(self, maze):
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def __init__(self, maze, mode):
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# assign read maze 2D array to parameter from class MazeSolver
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self.test = mode
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self.maze = maze
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self.start, self.end = self.find_start_and_end()
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|
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# go through each character in 2D array and find one that corresponds to
|
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# Start/End character
|
||||
# go through each character in 2D array and find one that corresponds to
|
||||
# Start/End character
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def find_start_and_end(self):
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'''Finds start and end points in the maze'''
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||||
"""Finds start and end points in the maze"""
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||||
start = end = None
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for row_i, row in enumerate(self.maze):
|
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for col_i, cell in enumerate(row):
|
||||
if cell == 'S':
|
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if cell == "S":
|
||||
start = (row_i, col_i)
|
||||
elif cell == 'E':
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elif cell == "E":
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end = (row_i, col_i)
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||||
if start is not None and end is not None:
|
||||
return start, end
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print(f"DID NOT FOUND START OR END, Start: {start}, End: {end}")
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return start, end
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# Go through each neighbor
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# 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
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||||
# If it is not horizontal_line "wall" (#) add its position to list of neighbors
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def get_neighbors(self, position):
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'''Finds point's neighbors'''
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"""Finds point'maze_data neighbors"""
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row, col = position
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neighbors = []
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if row > 0 and self.maze[row - 1][col] != '#':
|
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if row > 0 and self.maze[row - 1][col] != "#":
|
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neighbors.append((row - 1, col))
|
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if col > 0 and self.maze[row][col - 1] != '#':
|
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if col > 0 and self.maze[row][col - 1] != "#":
|
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neighbors.append((row, col - 1))
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if row < len(self.maze) - 1 and self.maze[row + 1][col] != '#':
|
||||
if row < len(self.maze) - 1 and self.maze[row + 1][col] != "#":
|
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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] != "#":
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neighbors.append((row, col + 1))
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return neighbors
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# find path through maze
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# find path through maze
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def solve(self):
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'''Solves the maze'''
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queue = []
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# set means that values inside can not repeat
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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(
|
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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)
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||||
# Go there and repeat
|
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# if cannot find path it starts over but skips the path that lead it to
|
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# dead end
|
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path = None
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def solve_loop(self, queue, visited):
|
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""" Goes through maze and finds the path """
|
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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
|
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@ -110,65 +100,257 @@ class MazeSolver:
|
||||
for neighbor in self.get_neighbors(current):
|
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if neighbor not in visited:
|
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new_path = path + [neighbor]
|
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heuristic, heuristic_time = self.heuristic_euclidean(neighbor)
|
||||
heuristic_total_time += heuristic_time
|
||||
heuristics_called += 1
|
||||
heapq.heappush(
|
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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
|
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maze = [list(line.strip()) for line in file_contents]
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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()
|
||||
|
||||
@ -1,5 +0,0 @@
|
||||
#################
|
||||
# #
|
||||
# ####### #
|
||||
#S # E#
|
||||
#################
|
||||
@ -1,32 +0,0 @@
|
||||
################################
|
||||
# S # # #
|
||||
# ######### #### ## # #
|
||||
# # # # #
|
||||
# # ######### ####### #
|
||||
# # # #
|
||||
# # #### # ####### #######
|
||||
# # # # # #
|
||||
# ####### ########### # #
|
||||
# # ##### #
|
||||
#### ######### # # # #
|
||||
# # # #### #
|
||||
#### ########### # #
|
||||
# # ##### #####
|
||||
# ######### # # #
|
||||
# ###### #####
|
||||
# ####### ####### #
|
||||
# # # # #####
|
||||
# # ######### # # #
|
||||
# # # # ######
|
||||
# ####### ######### #
|
||||
# # #
|
||||
# ######### ############ #
|
||||
# # # #
|
||||
# ######### #### ####### #
|
||||
# # # # #
|
||||
# # ####### # ######### #
|
||||
# # # # # #
|
||||
# # # #### ######### ####
|
||||
# # # # #
|
||||
# ######### ###### ##### #
|
||||
################################
|
||||
@ -1,32 +0,0 @@
|
||||
################################
|
||||
# # # #
|
||||
# ######### #### ## # #
|
||||
# # # # #
|
||||
# # ######### ####### #
|
||||
# # # #
|
||||
# # #### # ####### #######
|
||||
# # # # # #
|
||||
# ####### ########### # #
|
||||
# # ##### #
|
||||
#### ######### # # # #
|
||||
# # # #### #
|
||||
#### ########### # #
|
||||
# # ##### #####
|
||||
# ######### # # #
|
||||
# ###### #####
|
||||
# ####### ####### #
|
||||
# # # # #####
|
||||
# # ######### # # #
|
||||
# # # # ######
|
||||
# ####### ######### #
|
||||
# # #
|
||||
# ######### ############ #
|
||||
# # # #
|
||||
# ######### #### ####### #
|
||||
# # # # #
|
||||
# # ####### # ######### #
|
||||
# # # # # #
|
||||
# # # #### ######### ####
|
||||
# # # # #
|
||||
# ######### ###### ##### #
|
||||
################################
|
||||
@ -1,32 +0,0 @@
|
||||
################################
|
||||
# # # #
|
||||
# ######### #### ## # #
|
||||
# # # # #
|
||||
# # ######### ####### #
|
||||
# # # #
|
||||
# # #### # ####### #######
|
||||
# # # # # #
|
||||
# ####### ########### # #
|
||||
# # ##### #
|
||||
#### ######### # # # #
|
||||
# # # #### #
|
||||
#### ########### # #
|
||||
# # ##### #####
|
||||
# ######### # # #
|
||||
# ###### #####
|
||||
# ####### ####### #
|
||||
# # # # #####
|
||||
# # ######### # # #
|
||||
# # # # ######
|
||||
# ####### ######### #
|
||||
# # #
|
||||
# ######### ############ #
|
||||
# # # #
|
||||
# ######### #### ####### #
|
||||
# # # # #
|
||||
# # ####### # ######### #
|
||||
# # # # # #
|
||||
# # # #### ######### ####
|
||||
# # # # # #
|
||||
# ######### ###### #####E#
|
||||
################################
|
||||
@ -1,32 +0,0 @@
|
||||
################################
|
||||
# # # #
|
||||
# ######### #### ## # #
|
||||
# # # # #
|
||||
# # ######### ####### #
|
||||
# # # #
|
||||
# # #### # ####### #######
|
||||
# # # # # #
|
||||
# ####### ########### # #
|
||||
# # ##### #
|
||||
#### ######### # # # #
|
||||
# # # #### #
|
||||
#### ########### # #
|
||||
# # ##### #####
|
||||
# ######### # # #
|
||||
# ###### #####
|
||||
# ####### ####### #
|
||||
# # # # #####
|
||||
# # ######### # # #
|
||||
# # # # ######
|
||||
# ####### ######### #
|
||||
# # #
|
||||
# ######### ############ #
|
||||
# # # #
|
||||
# ######### #### ####### #
|
||||
# # # # #
|
||||
# # ####### # ######### #
|
||||
# # # # # #
|
||||
# # # #### ######### ####
|
||||
# # # # #
|
||||
# ######### ###### #####E#
|
||||
################################
|
||||
@ -1,32 +0,0 @@
|
||||
################################
|
||||
# S # # #
|
||||
# ######### #### ## # #
|
||||
# # # # #
|
||||
# # ######### ####### #
|
||||
# # # #
|
||||
# # #### # ####### #######
|
||||
# # # # # #
|
||||
# ####### ########### # #
|
||||
# # ##### #
|
||||
#### ######### # # # #
|
||||
# # # #### #
|
||||
#### ########### # #
|
||||
# # ##### #####
|
||||
# ######### # # #
|
||||
# ###### #####
|
||||
# ####### ####### #
|
||||
# # # # #####
|
||||
# # ######### # # #
|
||||
# # # # ######
|
||||
# ####### ######### #
|
||||
# # #
|
||||
# ######### ############ #
|
||||
# # # #
|
||||
# ######### #### ####### #
|
||||
# # # # #
|
||||
# # ####### # ######### #
|
||||
# # # # # #
|
||||
# # # #### ######### ####
|
||||
# # # # # #
|
||||
# ######### ###### #####E#
|
||||
################################
|
||||
10
solvedMazes/0maze.txt
Normal file
10
solvedMazes/0maze.txt
Normal file
@ -0,0 +1,10 @@
|
||||
##########
|
||||
#******* #
|
||||
# ####* #
|
||||
# # **#
|
||||
# # ##*#
|
||||
# #**#
|
||||
##### *##
|
||||
# # * #
|
||||
# #* #
|
||||
##########
|
||||
Loading…
Reference in New Issue
Block a user