def getMove(self, board):
output.log("Selecting move...", module = "Player")
tree = self.getGameTree(board, 1)
energy = len(tree.children)
moves = [x.board.move for x in tree.children]
if len(moves) == 0:
return None
if energy < self.energythreshold:
output.log("Energy %s is lower than %s, so I'll play near the bottom" % (energy, self.energythreshold), module = "Player")
move1 = min(moves, key = lambda x : x[0][0]) #choose nearest to the top
move2 = min(moves, key = lambda x : x[1][0])
move = min(move1, move2)
else:
output.log("Energy %s is higher or equal to %s, so I'll play near the top" % (energy, self.energythreshold), module = "Player")
move1 = max(moves, key = lambda x : x[0][0]) #choose nearest to the top
move2 = max(moves, key = lambda x : x[1][0])
move = max(move1, move2)
output.log(move, module = "Player")
output.log("Move is ", move, module = "Player")
return move
def getMove(self, board):
output.log("Selecting move...", module = "Player")
moveInput = self.inputStream.readline().strip()
try:
matches = re.findall(r'^(\d+) (\d+) (\d+) (\d+)$', moveInput)[0]
matches = [int(match) for match in matches]
move = ((matches[0], matches[1]), (matches[2], matches[3]))
except IndexError:
output.log("Error parsing input!", module = "Error")
move = None
return move
def sanitize(self, verbose=True):
if verbose:
output.log("Sanitizing board...", module = 'Board')
def testrefillBoard(refill):
for i in range(0, self.columns):
for j in range(0, self.rows):
if (refill[0].getItem(i, j) > 0):
return False
return True
#WARNING: the snippet below does not correctly simmulate the game's logic
donesanitizing = False
while not donesanitizing:
donegravity = False
while not donegravity:
self.explodePatterns()
donegravity = self.simulateGravity()
donesanitizing = testrefillBoard(self.refillBoard())
if verbose:
output.log("Done sanitizing.", module = 'Board')
def getMove(self, board):
output.log("Calculating tree up to %s levels..." % self.depth, module = "Player")
tree = self.getGameTree(board, self.depth)
output.log("Calculating path...", module = "Player")
(score, path) = self.getPath(tree)
output.log("Path is %s (Score: %s). Will take first step and recalculate." % (path, score), module = "Player")
if len(path) > 0:
return path[0]
else:
return None
def __init__(self, *args, **kwargs):
def getPlayer(name):
playeroptions = {
'Human':
player.Human(self.moves, self.name, self.inputStream),
'BestScore':
player.BestScore(self.moves, self.depth),
'BestEnergy':
player.BestEnergy(self.moves, self.depth),
'BestScoreBetterEnergy':
player.BestScoreBetterEnergy(self.moves, self.depth, self.minenergy),
'EnergyVSEntropy':
player.EnergyVSEntropy(self.moves, self.depth, self.energythreshold),
'EnergyVSEntropyReversed':
player.EnergyVSEntropyReversed(self.moves, self.depth, self.energythreshold),
'GreedyEnergyVSEntropy':
player.GreedyEnergyVSEntropy(self.moves, self.energythreshold)
}
return playeroptions[name]
def getListOfPossibleMoves(rows, columns):
moves = []
#horizontals
for i_a in range(0, rows):
for j_a in range(0, columns-1):
moves.append(((i_a, j_a), (i_a, j_a+1)))
#verticals
for i_a in range(0, rows-1):
for j_a in range(0, columns):
moves.append(((i_a, j_a), (i_a+1, j_a)))
#output.log("For this %sx%s board, there are a total of %s possible moves " % (rows, columns, len(moves)), module = 'Logic')
return moves
self.pauses = kwargs.get('pause', False)
self.shorten = kwargs.get('shorten', False)
self.limit = kwargs.get('limit')
self.depth = kwargs.get('depth')
self.minenergy = kwargs.get('minenergy', 2)
self.energythreshold = kwargs.get('energythreshold')
self.boardfile = kwargs.get('boardfile', None)
self.refillfile = kwargs.get('refillfile', None)
# Human Player
self.name = None
self.inputStream = sys.stdin
# Main loop terminates when this is set True
self.forceEnd = False
# generate a new game
if self.boardfile is None:
columns = kwargs.get('columns')
rows = kwargs.get('rows')
colours = kwargs.get('colours')
self.moves = getListOfPossibleMoves(columns, rows)
self.board = board.Board(columns, rows, colours)
self.board.sanitize()
# load a saved board
else:
try:
self.board = board.Board.LoadBoard(self.boardfile)
self.board.refillboard = board.Board.LoadRefill(self.refillfile)
except Exception as e:
output.log("Error: ", e, module = 'Logic')
sys.exit(0)
self.moves = getListOfPossibleMoves(self.board.rows, self.board.columns)
self.player = getPlayer(kwargs.get('player'))
def playGame(self):
STATE_BEGIN, STATE_MOVE, STATE_EXPLODE, STATE_GRAVITY, STATE_REFILL, STATE_TERMINATE = range(6)
def stateBegin():
output.event('logic_stateBegin', {
'iteration' : self.iteration,
'board_state' : self.board.state
})
return STATE_MOVE
def stateMove():
move = self.player.getMove(self.board)
if (move == None):
return True
else:
result = self.board.makeMove(move)
output.event('logic_stateMove', {
'move' : str(move),
'marked_board' : self.board.state.reprConsoleMarkMoves(list(move)),
'move_result' : result
})
return False
def stateExplode():
(patterns, exploded) = self.board.explodePatterns()
output.event('logic_stateExplode', {
'patterns' : patterns,
'exploded' : exploded,
'board_state' : self.board.state,
'shorten' : self.shorten
})
return exploded
def stateGravity():
fallCount = 0
while not self.board.simulateGravity():
fallCount += 1
output.event('logic_stateGravity', {
'board_state' : self.board.state,
'fall_count' : fallCount,
'shorten' : self.shorten
})
def stateRefill():
(refill,_) = self.board.refillBoard()
output.event('logic_stateRefill', {
'board_state' : self.board.state,
'refill' : refill,
'shorten' : self.shorten
})
count = 0
chain = 0
totalcount = 0
totalchain = 0
score = 0
self.iteration = 1
while not self.forceEnd and (self.iteration <= self.limit or self.limit == 0):
self.state = stateBegin()
while self.state != STATE_BEGIN:
if (self.state == STATE_MOVE):
#chain starts at -1 because the first time pieces explode, points should be multiplied by 2^0.
chain = -1
score = 0
jewels = []
result = stateMove()
if result:
output.log("Terminal state achieved in iteration %s. Score: %s." % (self.iteration, self.player.score), module = 'Logic')
output.log(self.board.state, module = 'Logic', printModule = False)
self.state = STATE_TERMINATE
break
self.state = STATE_EXPLODE
elif (self.state == STATE_EXPLODE):
exploded = stateExplode()
count += exploded
jewels.append(exploded)
totalcount += exploded
chain += 1
totalchain += chain
self.lastscore = self.player.updateScore(exploded, chain)
score += self.lastscore
self.state = STATE_GRAVITY
elif (self.state == STATE_GRAVITY):
stateGravity()
patterns = self.board.getPatterns()
if self.board.hasOnes(patterns):
self.state = STATE_EXPLODE
else:
self.state = STATE_REFILL
elif (self.state == STATE_REFILL):
stateRefill()
patterns = self.board.getPatterns()
if self.board.hasOnes(patterns):
self.state = STATE_EXPLODE
else:
output.log("Local Chain: %s\tJewels: %s: %s\tScore: %s" % (chain, jewels, sum(jewels), score), module = 'Logic')
output.log("Total Chain: %s\tJewels: %s\tScore: %s" % (totalchain, totalcount, self.player.score), module = 'Logic')
self.state = STATE_BEGIN
if (self.state == STATE_TERMINATE):
break
self.iteration += 1
if (self.pauses):
raw_input("Press enter to continue.")
return {
'iterations' : self.iteration - 1,
'totalChains' : totalchain,
'totalJewels' : totalcount,
'score' : self.player.score
}
def getMove(self, board):
output.log("Calculating tree up to %s levels..." % self.depth, module = "Player")
tree = self.getGameTree(board, self.depth)
output.log("Calculating best path...", module = "Player")
(totalenergy, path) = self.getPath(tree)
energyperdepthlevel = (totalenergy / self.depth)
if len(path) > 0:
if energyperdepthlevel < self.energythreshold:
output.log("Energy per depth level is %s, below the threshold of %s" % (energyperdepthlevel, self.energythreshold), module = "Player")
output.log("Will attempt to get lucky and play near the bottom", module = "Player")
moves = [x.board.move for x in tree.children]
move1 = min(moves, key = lambda x : x[0][0]) #choose nearest to the bottom
move2 = min(moves, key = lambda x : x[1][0])
move = min(move1, move2)
return move
else:
output.log("Energy per depth level is %s, above the threshold of %s" % (energyperdepthlevel, self.energythreshold), module = "Player")
output.log("Path is %s (Energy: %s). Will take first step and recalculate." % (path, totalenergy), module = "Player")
move = path[0]
return move
else:
return None
depth = b_depth,
minenergy = b_minenergy,
pause = b_pause,
energythreshold = b_energythreshold,
shorten = b_shorten
)
# handle ^C
def handle_SIGINT(signal, frame):
print('You pressed Ctrl+C!')
game.endGame()
signal.signal(signal.SIGINT, handle_SIGINT)
output.log("**************************************", module = 'Main')
output.log("* Welcome to AI Bejeweled", module = 'Main')
output.log("* Rules:", module = 'Logic')
if game.boardfile is not None:
output.log("* Using board from %s and refill from %s " % (game.boardfile, game.refillfile), module = 'Main')
output.log("* %sx%sx%s (%s possible moves)" % (game.board.columns, game.board.rows, game.board.colors, len(game.moves)), module = 'Main')
output.log("* Using IA Agent %s " % game.player, module = 'Main')
if game.limit > 0:
output.log("* Will terminate after %s moves" % (game.limit), module = 'Main')
output.log("**************************************", module = 'Main')
results = game.playGame()
output.log("****************************************************************", module = 'Main')
output.log("* Simulation terminated after %s moves" % results['iterations'], module = 'Main')
output.log("****************************************************************", module = 'Main')
