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413 lines (230 loc) · 9.95 KB
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import math
import time
import heapq
class MyHeap(object):
def __init__(self, initial=None, key=lambda x:x):
self.key = key
self.index = 0
if initial:
self._data = [(key(item), i, item) for i, item in enumerate(initial)]
self.index = len(self._data)
heapq.heapify(self._data)
else:
self._data = []
def push(self, item):
heapq.heappush(self._data, (self.key(item), self.index, item))
self.index += 1
def pop(self):
return heapq.heappop(self._data)[2]
# Methods
def stringToGrid(mapString):
"""Initializes Map Tuple from a MapString Representation"""
mapString = mapString.split(" ")[1]
grid_size = int(math.sqrt(len(mapString)))
pieceSet = []
grid = []
line = []
for i, pos in enumerate(mapString):
# Creates an Array with all the diferent Pieces
if (pos not in {"o","x"} ) and (pos not in pieceSet):
pieceSet.append(pos)
#
line.append(pos)
if (i + 1) % grid_size == 0:
grid.append(line)
line = []
return (grid,pieceSet,"")
def stringToGridA(mapString):
"""Initializes Map Tuple from a MapString Representation and initializes cost at 0"""
mapString = mapString.split(" ")[1]
grid_size = int(math.sqrt(len(mapString)))
pieceSet = []
grid = []
line = []
for i, pos in enumerate(mapString):
# Creates an Array with all the diferent Pieces
if (pos not in {"o","x"} ) and (pos not in pieceSet):
pieceSet.append(pos)
#
line.append(pos)
if (i + 1) % grid_size == 0:
grid.append(line)
line = []
return (grid,pieceSet,"",0)
def coordinates(grid):
"""Representation of ocupied map positions through tuples x,y,carValue."""
_coordinates = []
for y, line in enumerate(grid):
for x, column in enumerate(line):
if column != "o":
_coordinates.append((x, y, column))
return _coordinates
def piece_coordinates(piece: str,_coordinates):
"""List coordinates holding a piece from coordinates"""
return [(x, y) for (x, y, p) in _coordinates if p == piece]
def canMove(grid, piece: str, direction,_piece_coordinates):
"""Bolean on if a movement is available given by a piece and a vector tuple."""
gridSize = len(grid)
def sum(a, b):
return (a[0] + b[0], a[1] + b[1])
def locationAvailable(cur):
if 0 <= cur[0] < gridSize and 0 <= cur[1] < gridSize:
if grid[cur[1]][cur[0]] in [piece, "o"]:
return True
else:
return False
return False
piece_coord = _piece_coordinates
for pos in piece_coord:
if locationAvailable(sum(pos, direction)) == False:
return False
return True
def move(grid,piece,piece_coords,vector):
"""Grid (2d Char Array) of a move of a certain piece"""
def sum(a, b):
return (a[0] + b[0], a[1] + b[1])
for coord in piece_coords:
grid[coord[1]][coord[0]] = "o"
for coord in piece_coords:
cursor = sum(coord,vector)
grid[cursor[1]][cursor[0]] = piece
return
def test_win(grid,carAy):
"""Test if player_car has crossed the left most column."""
grid_size = len(grid)
return "A" == grid[carAy][grid_size-1]
def possibleMoves(map):
"""List of possible foward states from a given Map Tuple"""
possibleStates = []
_coordinates = coordinates(grid=map[0])
for car in map[1]:
carCords = piece_coordinates(car,_coordinates)
if carCords[0][1] == carCords[1][1]:
if canMove(map[0],car,(-1,0),carCords):
grid2 = [row[:] for row in map[0]]
move(grid2,car,carCords,(-1,0))
map2 = (grid2,map[1],map[2] + car + "a") # Creates a copy of the current Map Tuple and Updates the current Solution
possibleStates.append(map2) # Appends it to the possible states
if canMove(map[0],car,(1,0),carCords):
grid2 = [row[:] for row in map[0]]
move(grid2,car,carCords,(1,0))
map2 = (grid2,map[1],map[2] + car + "d") # Creates a copy of the current Map Tuple and Updates the current Solution
possibleStates.append(map2) # Appends it to the possible states
else:
if canMove(map[0],car,(0,-1),carCords):
grid2 = [row[:] for row in map[0]]
move(grid2,car,carCords,(0,-1))
map2 = (grid2,map[1],map[2] + car + "w") # Creates a copy of the current Map Tuple and Updates the current Solution
possibleStates.append(map2) # Appends it to the possible states
if canMove(map[0],car,(0,1),carCords):
grid2 = [row[:] for row in map[0]]
move(grid2,car,carCords,(0,1))
map2 = (grid2,map[1],map[2] + car + "s") # Creates a copy of the current Map Tuple and Updates the current Solution
possibleStates.append(map2) # Appends it to the possible states
return possibleStates
def DistanceToExitEuristics(grid):
grid_size = len(grid)
cords = coordinatesCar(grid=grid)[1]
return grid_size - cords[0]
def coordinatesCar(grid):
"""Cordinates of Main Car"""
_coordinates = []
for y, line in enumerate(grid):
for x, column in enumerate(line):
if column == "A":
_coordinates.append((x, y, column))
return _coordinates
def DistanceToExitBlockingCars(grid):
grid_size = len(grid)
cords = coordinatesCar(grid=grid)[1]
counter = 0
for i in range(grid_size-1,cords[0],-1):
if grid[cords[1]][i] != "o":
counter += 1
#print("counter ->",counter)
#for i in grid:
# print(i)
return grid_size - cords[0] + counter
def possibleMovesAStart(map):
"""List of possible foward states from a given Map Tuple"""
possibleStates = []
_coordinates = coordinates(grid=map[0])
for car in map[1]:
carCords = piece_coordinates(car,_coordinates)
if carCords[0][1] == carCords[1][1]:
if canMove(map[0],car,(-1,0),carCords):
grid2 = [row[:] for row in map[0]]
move(grid2,car,carCords,(-1,0))
map2 = (grid2,map[1],map[2] + car + "a",DistanceToExitBlockingCars(grid2)) # Creates a copy of the current Map Tuple and Updates the current Solution
possibleStates.append(map2) # Appends it to the possible states
if canMove(map[0],car,(1,0),carCords):
grid2 = [row[:] for row in map[0]]
move(grid2,car,carCords,(1,0))
map2 = (grid2,map[1],map[2] + car + "d",DistanceToExitBlockingCars(grid2)) # Creates a copy of the current Map Tuple and Updates the current Solution
possibleStates.append(map2) # Appends it to the possible states
else:
if canMove(map[0],car,(0,-1),carCords):
grid2 = [row[:] for row in map[0]]
move(grid2,car,carCords,(0,-1))
map2 = (grid2,map[1],map[2] + car + "w",DistanceToExitBlockingCars(grid2)) # Creates a copy of the current Map Tuple and Updates the current Solution
possibleStates.append(map2) # Appends it to the possible states
if canMove(map[0],car,(0,1),carCords):
grid2 = [row[:] for row in map[0]]
move(grid2,car,carCords,(0,1))
map2 = (grid2,map[1],map[2] + car + "s",DistanceToExitBlockingCars(grid2)) # Creates a copy of the current Map Tuple and Updates the current Solution
possibleStates.append(map2) # Appends it to the possible states
return possibleStates
def breathsearch(startState):
mapa = stringToGrid(startState)
carAy = piece_coordinates("A",coordinates(mapa[0]))[1][1]
open_nodes = [mapa]
visitedNodes = set()
while open_nodes != []:
node = open_nodes.pop(0)
if test_win(node[0],carAy):
solution = node
#print("open nodes ->",len(visitedNodes))
return solution[2]
for a in possibleMoves(node):
if not visitedNodes.__contains__(str(a[0])):
open_nodes.append(a)
visitedNodes.add(str(a[0]))
return None
def AStar(startState):
mapa = stringToGridA(startState) # returns a tuple with a cost starting at 0
carAy = piece_coordinates("A",coordinates(mapa[0]))[1][1]
open_nodes = MyHeap([mapa],key=lambda x: x[3]) # Uses a heap to keep the nodes sorted
visitedNodes = set()
while open_nodes != []:
node = open_nodes.pop()
if test_win(node[0],carAy):
solution = node
#print("open nodes ->",len(visitedNodes))
return solution[2]
for a in possibleMovesAStart(node):
stra = str(a[0])
if not visitedNodes.__contains__(stra):
open_nodes.push(a) # Pushes on to the heap. keeps the nodes sorted
visitedNodes.add(stra)
return None
if __name__ == "__main__":
file1 = open('levels.txt', 'r')
Lines = file1.readlines()
j =1
startTime = 0
endTime = 0
searchType = "A*"
totalTime = 0
for i in Lines:
if searchType == "breathSearch":
startTime = time.time()
print(breathsearch(i))
endTime = time.time()
if searchType == "A*":
startTime = time.time()
print(AStar(i))
endTime = time.time()
print("level nº " + str(j) + " time is " + str(endTime - startTime) + " seconds")
totalTime += endTime - startTime
j+=1
print("Tempo total =",totalTime)