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complex-agent-robot.py
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174 lines (139 loc) · 4.02 KB
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import matplotlib.pyplot as plt
import random
from Node import *
from tkinter import messagebox
from copy import copy, deepcopy
# 0 -> clean
# 1 -> wall
# 2 -> dirt
matrix = [
[1, 1, 1, 1, 1, 1],
[1, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 1],
[1, 1, 1, 1, 1, 1]
]
presentationMatrix = [
[1, 1, 1, 1, 1, 1],
[1, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 1],
[1, 0, 0, 0, 0, 1],
[1, 1, 1, 1, 1, 1]
]
# The robot always starts at matrix[1][1]
currLine = 1
currCol = 1
stack = [Node(1, 1)]
solution = [Node(1, 1)]
process_map = []
def mapNotClean():
for i in range(1, len(matrix) - 1):
for j in range(1, len(matrix[i]) - 1):
if (matrix[i][j] == 2):
return True
return False
def renderMatrix(matrix):
plt.imshow(matrix, 'pink')
plt.show(block=False)
plt.plot(currCol, currLine, '*r', 'LineWidth', 5)
plt.pause(0.5)
plt.clf()
def createWorld(m):
for mI in range(1, 5):
for aI in range(1, 5):
if (mI == 1 and aI == 1):
continue
number = random.randint(0, 3)
m[mI][aI] = 2 if number == 1 else 0
renderMatrix(matrix)
global process_map
global presentationMatrix
process_map = deepcopy(matrix)
presentationMatrix = deepcopy(matrix)
def hasPosition(x, y):
if (matrix[x][y] == 1):
return False
return True
def lookLeft(x, y, node):
if (hasPosition(x - 1, y)):
new_node = Node(x - 1, y, node)
if (process_map[x - 1][y] == 2):
return new_node
if (process_map[x - 1][y] != 4):
stack.append(new_node)
process_map[x - 1][y] = 4
def lookRight(x, y, node):
if (hasPosition(x + 1, y)):
new_node = Node(x + 1, y, node)
if (process_map[x + 1][y] == 2):
return new_node
if (process_map[x + 1][y] != 4):
stack.append(new_node)
process_map[x + 1][y] = 4
def lookAbove(x, y, node):
if (hasPosition(x, y - 1)):
new_node = Node(x, y - 1, node)
if (process_map[x][y - 1] == 2):
return new_node
if (process_map[x][y - 1] != 4):
stack.append(new_node)
process_map[x][y - 1] = 4
def lookDown(x, y, node):
if (hasPosition(x, y + 1)):
new_node = Node(x, y + 1, node)
if (process_map[x][y + 1] == 2):
return new_node
if (process_map[x][y + 1] != 4):
stack.append(new_node)
process_map[x][y + 1] = 4
def discoverPath():
while (len(stack) != 0):
node = stack.pop(0)
x = node.get_x()
y = node.get_y()
auxNode = lookLeft(x, y, node)
if (auxNode):
return auxNode
auxNode = lookAbove(x, y, node)
if (auxNode):
return auxNode
auxNode = lookRight(x, y, node)
if (auxNode):
return auxNode
auxNode = lookDown(x, y, node)
if (auxNode):
return auxNode
def main():
global matrix
global process_map
global stack
global currCol
global currLine
createWorld(matrix)
while (mapNotClean()):
path = discoverPath()
x = path.get_x()
y = path.get_y()
aux_list = []
while (path.get_parent() is not None):
process_map[path.get_x()][path.get_y()] = 3
aux_list.append(path)
path = path.get_parent()
aux_list.reverse()
solution.extend(aux_list)
matrix[x][y] = 0
stack = [Node(x, y)]
process_map = deepcopy(matrix)
for path in solution:
currCol = path.get_y()
currLine = path.get_x()
renderMatrix(presentationMatrix)
if (presentationMatrix[currLine][currCol] == 2):
presentationMatrix[currLine][currCol] = 0
renderMatrix(presentationMatrix)
messagebox.showinfo(
"Aecio NEVE", "Aecio Neves aspirou tudo com %s pontos" % (len(solution) - 1))
if __name__ == "__main__":
main()