Python State示例

示例#1

def runSim(redBot, blueBot):

    red_bot = __import__(redBot)
    blue_bot = __import__(blueBot)

    BOTS = {'red': red_bot, 'blue': blue_bot}

    ################### End importing bot ##############################

    for i in range(rounds):

        print ""
        print "Round %d, fight!" % i

        game = Game(4)
        state = State(game)

        def make_quipper(who):
            def quip(what):
                print who, ">>", what

            return quip

        while not state.is_terminal():
            move = BOTS[state.whos_turn].think(state.copy(),
                                               make_quipper(state.whos_turn))
            state.apply_move(move)

        final_score = state.get_score()
        winner = max(['red', 'blue'], key=final_score.get)
        print "The %s bot wins this round! (%s)" % (winner, str(final_score))
        wins[winner] = 1 + wins[winner]

    print ""
    print "Final win counts:", dict(wins)

示例#2

文件： p2_sim.py 项目： jtsommers/dotsnbots

def runsim(rounds, redteam=None, blueteam=None, boardSize=4):
	wins = defaultdict(lambda: 0)
	# Override the bots if provided
	global BOARD_SIZE, BOTS
	if redteam:
		BOTS['red'] = redteam
	if blueteam:
		BOTS['blue'] = blueteam
	BOARD_SIZE = boardSize

	for i in range(rounds):

		print ""
		print "Round %d, fight!" % (i + 1)

		game = Game(BOARD_SIZE)
		state = State(game)
		
		def make_quipper(who):
			def quip(what):
				print who, ">>", what
			return quip
		
		while not state.is_terminal():
			move = BOTS[state.whos_turn].think(state.copy(), make_quipper(state.whos_turn))
			state.apply_move(move)

		final_score = state.get_score()
		winner = max(['red','blue'],key=final_score.get)
		print "The %s bot wins this round! (%s)" % (winner, str(final_score))
		wins[winner] = 1 + wins[winner]

	print ""
	print "Final win counts:", dict(wins)

示例#3

文件： p2.py 项目： huanghunz/MCST-for-Dot-and-Box

def runSim(redBot, blueBot):

  red_bot = __import__(redBot)
  blue_bot = __import__ (blueBot)

  BOTS = {'red': red_bot, 'blue': blue_bot}

  ################### End importing bot ##############################

  for i in range(rounds):

    print ""
    print "Round %d, fight!" % i

    game = Game(4)
    state = State(game)
    
    def make_quipper(who):
      def quip(what):
        print who, ">>", what
      return quip
    
    while not state.is_terminal():
      move = BOTS[state.whos_turn].think(state.copy(), make_quipper(state.whos_turn))
      state.apply_move(move)

    final_score = state.get_score()
    winner = max(['red','blue'],key=final_score.get)
    print "The %s bot wins this round! (%s)" % (winner, str(final_score))
    wins[winner] = 1 + wins[winner]

  print ""
  print "Final win counts:", dict(wins)

示例#4

文件： p2_sim.py 项目： Logodaedalus/Monte-Carlo-Lines-and-Dots

from collections import defaultdict

import greedy_bot as red_bot
import uct_bot as blue_bot
BOTS = {'red': red_bot, 'blue': blue_bot}

rounds = 5
wins = defaultdict(lambda: 0)

for i in range(rounds):

    print ""
    print "Round %d, fight!" % i

    game = Game(4)
    state = State(game)

    def make_quipper(who):
        def quip(what):
            print who, ">>", what

        return quip

    while not state.is_terminal():
        move = BOTS[state.whos_turn].think(state.copy(),
                                           make_quipper(state.whos_turn))
        state.apply_move(move)

    final_score = state.get_score()
    winner = max(['red', 'blue'], key=final_score.get)
    print "The %s bot wins this round! (%s)" % (winner, str(final_score))

示例#5

文件： p2_sim.py 项目： EdwardBetts/GameAI

if hasattr(red_bot, 'num_nodes'):
    red_bot.num_nodes = 1000
if hasattr(blue_bot, 'num_nodes'):
    blue_bot.num_nodes = 1000

rounds = 100
wins = {}

start = time()  # To log how much time the simulation takes.
for i in range(rounds):

    print("")
    print("Round %d, fight!" % i)

    game = create_game(4)   # Specify the size of the grid in vertices. In this case, 4x4
    state = State(game)     # Create a state from the instance of the game

    while not state.is_terminal():
        move = BOTS[state.player_turn].think(state.copy())
        state.apply_move(move)

    final_score = state.score
    winner = state.winner
    print("The %s bot wins this round! (%s)" % (winner, str(final_score)))
    wins[winner] = wins.get(winner, 0) + 1

print("")
print("Final win counts:", dict(wins))

# Also output the time elapsed.
end = time()

示例#6

def restart():
    game = Game(4)
    initial_state = State(game)
    UNDO_STACK[:] = [initial_state]
    display(initial_state)

示例#7

文件： p2_sim.py 项目： aAshkan/GameAI

    red_bot.num_nodes = 1000
if hasattr(blue_bot, 'num_nodes'):
    blue_bot.num_nodes = 1000

rounds = 100
wins = {}

start = time()  # To log how much time the simulation takes.
for i in range(rounds):

    print("")
    print("Round %d, fight!" % i)

    game = create_game(
        4)  # Specify the size of the grid in vertices. In this case, 4x4
    state = State(game)  # Create a state from the instance of the game

    while not state.is_terminal():
        move = BOTS[state.player_turn].think(state.copy())
        state.apply_move(move)

    final_score = state.score
    winner = state.winner
    print("The %s bot wins this round! (%s)" % (winner, str(final_score)))
    wins[winner] = wins.get(winner, 0) + 1

print("")
print("Final win counts:", dict(wins))

# Also output the time elapsed.
end = time()

示例#8

文件： p2_sim.py 项目： Logodaedalus/Monte-Carlo-Lines-and-Dots

from collections import defaultdict

import greedy_bot as red_bot
import uct_bot as blue_bot
BOTS = {'red': red_bot, 'blue': blue_bot}

rounds = 5
wins = defaultdict(lambda: 0)

for i in range(rounds):

  print ""
  print "Round %d, fight!" % i

  game = Game(4)
  state = State(game)
  
  def make_quipper(who):
    def quip(what):
      print who, ">>", what
    return quip
  
  while not state.is_terminal():
    move = BOTS[state.whos_turn].think(state.copy(), make_quipper(state.whos_turn))
    state.apply_move(move)

  final_score = state.get_score()
  winner = max(['red','blue'],key=final_score.get)
  print "The %s bot wins this round! (%s)" % (winner, str(final_score))
  wins[winner] = 1 + wins[winner]