def react(data):
name, length, frequency = data.split(",")
length = min(int(length)/10.0, 2)
print('%s: %s,%s' % (name, length, frequency))
base.play(length, int(frequency))
N[who == curwho][curlen] += 1
self._add_runs(N, who, row[1:], row[0], 1)
if __name__ == "__main__":
import sys
n = int(sys.argv[1])
f = None
if len(sys.argv) > 2:
fn = sys.argv[2]
f = open(fn, "a")
for i in xrange(n):
agents = [base.HeuristicAgent("X", TTTHeuristic()), RandomAgent("O")]
#agents = [base.MinMaxSearchAgent("X", "O", TTTHeuristic(), 2), RandomAgent("O")]
#agents = [base.MinMaxSearchAgent("X", "O", TTTHeuristic(), 2), base.HeuristicAgent("O", TTTHeuristic())]
final_board, moves, winner = base.play(agents, TTTBoard.empty())
print moves
for board in board_iterator(moves, TTTBoard.empty()):
print board
print ""
pgn = parse.write_game("TicTacToe", agents, moves, winner)
print pgn
if f is not None:
f.write(pgn)
if f is not None:
f.close()
def main(args):
mode = args[1]
if mode == "play":
board = ChessBoard.empty()
agents = [ChessPlayerAgent(color) for color in ChessConstants.COLORS]
final_board, moves, winner = base.play(agents, board)
elif mode == "random":
f = None
if len(args) > 2:
fn = args[2]
f = open(fn, "a")
board = ChessBoard.empty()
#agents = [ChessRandomAgent(color) for color in ChessConstants.COLORS]
#agents = [base.HeuristicAgent(ChessConstants.WHITE, ChessHeuristic()), ChessRandomAgent(ChessConstants.BLACK)]
#agents = [ChessMinMaxSearchAgent(ChessConstants.WHITE, ChessConstants.BLACK, heuristic=ChessHeuristic(), max_depth=2), ChessRandomAgent(ChessConstants.BLACK)]
#agents = [ChessMinMaxSearchAgent(ChessConstants.WHITE, ChessConstants.BLACK, heuristic=ChessHeuristic(), max_depth=2),ChessMinMaxSearchAgent(ChessConstants.BLACK, ChessConstants.WHITE, heuristic=ChessHeuristic(), max_depth=2)]
#agents = [ChessMinMaxAlphaBetaAgent(ChessConstants.WHITE, ChessConstants.BLACK, heuristic=ChessHeuristic(), max_depth=2),ChessRandomAgent(ChessConstants.BLACK)]
agents = [
ChessMinMaxSearchAgent(ChessConstants.WHITE,
ChessConstants.BLACK,
heuristic=ChessHeuristic(),
max_depth=2),
ChessMinMaxSearchAgent(ChessConstants.BLACK,
ChessConstants.WHITE,
heuristic=AnotherChessHeuristic(),
max_depth=2)
]
final_board, moves, winner = base.play(agents, board)
pgn = parse.write_game("Chess", agents, moves, winner)
print ""
print pgn
if f is not None:
f.write(pgn)
f.close()
elif mode == "manyrandom":
while True:
try:
main(["", "random"])
except IndexError:
continue
elif mode == "read":
filename = args[2]
with open(filename, 'r') as f:
chars = f.read()
game_chars = parse.split_games(chars)
for chars in game_chars:
print "NEW GAME"
tokens = parse.tokenize(chars)
game_parser = parse.PGNGameParser(tokens, ChessPGNMoveParser)
game = game_parser.game
board = ChessBoard.empty()
print game
print board
turn = 0
for move_parser in game.move_parsers:
print move_parser
it = move_parser.parse_moves(board.grid)
first = True
while True:
print ""
try:
if first:
move = it.next()
first = False
else:
move = it.send(board.grid)
who = ChessConstants.COLORS[turn]
print who + "'s turn"
#print move
trans_moves = board.translate_move(who, move)
print trans_moves
assert len(trans_moves) > 0
for move in trans_moves:
board = board.result(who, move)
print board
#r = raw_input("ok?")
turn = (turn + 1) % 2
except StopIteration:
break
def main(args):
mode = args[1]
if mode == "play":
board = ChessBoard.empty()
agents = [ChessPlayerAgent(color) for color in ChessConstants.COLORS]
final_board, moves, winner = base.play(agents, board)
elif mode == "random":
f = None
if len(args) > 2:
fn = args[2]
f = open(fn, "a")
board = ChessBoard.empty()
#agents = [ChessRandomAgent(color) for color in ChessConstants.COLORS]
#agents = [base.HeuristicAgent(ChessConstants.WHITE, ChessHeuristic()), ChessRandomAgent(ChessConstants.BLACK)]
#agents = [ChessMinMaxSearchAgent(ChessConstants.WHITE, ChessConstants.BLACK, heuristic=ChessHeuristic(), max_depth=2), ChessRandomAgent(ChessConstants.BLACK)]
#agents = [ChessMinMaxSearchAgent(ChessConstants.WHITE, ChessConstants.BLACK, heuristic=ChessHeuristic(), max_depth=2),ChessMinMaxSearchAgent(ChessConstants.BLACK, ChessConstants.WHITE, heuristic=ChessHeuristic(), max_depth=2)]
#agents = [ChessMinMaxAlphaBetaAgent(ChessConstants.WHITE, ChessConstants.BLACK, heuristic=ChessHeuristic(), max_depth=2),ChessRandomAgent(ChessConstants.BLACK)]
agents = [ChessMinMaxSearchAgent(ChessConstants.WHITE, ChessConstants.BLACK, heuristic=ChessHeuristic(), max_depth=2),
ChessMinMaxSearchAgent(ChessConstants.BLACK, ChessConstants.WHITE, heuristic=AnotherChessHeuristic(), max_depth=2)]
final_board, moves, winner = base.play(agents, board)
pgn = parse.write_game("Chess", agents, moves, winner)
print ""
print pgn
if f is not None:
f.write(pgn)
f.close()
elif mode == "manyrandom":
while True:
try:
main(["", "random"])
except IndexError:
continue
elif mode == "read":
filename = args[2]
with open(filename, 'r') as f:
chars = f.read()
game_chars = parse.split_games(chars)
for chars in game_chars:
print "NEW GAME"
tokens = parse.tokenize(chars)
game_parser = parse.PGNGameParser(tokens, ChessPGNMoveParser)
game = game_parser.game
board = ChessBoard.empty()
print game
print board
turn = 0
for move_parser in game.move_parsers:
print move_parser
it = move_parser.parse_moves(board.grid)
first = True
while True:
print ""
try:
if first:
move = it.next()
first = False
else:
move = it.send(board.grid)
who = ChessConstants.COLORS[turn]
print who+"'s turn"
#print move
trans_moves = board.translate_move(who, move)
print trans_moves
assert len(trans_moves) > 0
for move in trans_moves:
board = board.result(who, move)
print board
#r = raw_input("ok?")
turn = (turn + 1) % 2
except StopIteration:
break
self._add_runs(N, who, row[1:], curwho, curlen + 1)
else:
N[who == curwho][curlen] += 1
self._add_runs(N, who, row[1:], row[0], 1)
if __name__ == "__main__":
import sys
n = int(sys.argv[1])
f = None
if len(sys.argv) > 2:
fn = sys.argv[2]
f = open(fn, "a")
for i in xrange(n):
agents = [base.HeuristicAgent("X", TTTHeuristic()), RandomAgent("O")]
#agents = [base.MinMaxSearchAgent("X", "O", TTTHeuristic(), 2), RandomAgent("O")]
#agents = [base.MinMaxSearchAgent("X", "O", TTTHeuristic(), 2), base.HeuristicAgent("O", TTTHeuristic())]
final_board, moves, winner = base.play(agents, TTTBoard.empty())
print moves
for board in board_iterator(moves, TTTBoard.empty()):
print board
print ""
pgn = parse.write_game("TicTacToe", agents, moves, winner)
print pgn
if f is not None:
f.write(pgn)
if f is not None:
f.close()
