def initGame(self):
cards.db.initialize()
if self.is_basic: #create quick simple game
with open('notbasic.data', 'rb') as f:
extra_set = pickle.load(f)
p1 = 6 #priest
p2 = 7 #rogue
deck1 = random_draft(CardClass(p1), exclude=extra_set)
deck2 = random_draft(CardClass(p2), exclude=extra_set)
else:
p1 = random.randint(1, 9)
p2 = random.randint(1, 9)
deck1 = random_draft(CardClass(p1))
deck2 = random_draft(CardClass(p2))
Board.players[0] = Player("Player1", deck1, CardClass(p1).default_hero)
Board.players[1] = Player("Player2", deck2, CardClass(p2).default_hero)
game = Game(players=self.players)
game.start()
# Skip mulligan for now
for player in game.players:
cards_to_mulligan = random.sample(player.choice.cards, 0)
player.choice.choose(*cards_to_mulligan)
# self.start_player = game.current_player
game.player_to_start = game.current_player
Board.game = game
return game
def getInitGame(self):
"""
Returns:
startBoard: a representation of the board (ideally this is the form
that will be the input to your neural network)
"""
if self.isolate:
self.isolateSet()
cards.db.initialize()
if self.is_basic: #create quick simple game
with open('notbasic.data', 'rb') as f:
extra_set = pickle.load(f)
p1 = 6 #priest
p2 = 7 #rogue
deck1 = random_draft(CardClass(p1), exclude=extra_set)
deck2 = random_draft(CardClass(p2), exclude=extra_set)
else:
p1 = random.randint(1, 9)
p2 = random.randint(1, 9)
deck1 = random_draft(CardClass(p1))
deck2 = random_draft(CardClass(p2))
self.players[0] = Player("Player1", deck1, CardClass(p1).default_hero)
self.players[1] = Player("Player2", deck2, CardClass(p2).default_hero)
game = Game(players=self.players)
game.start()
# Skip mulligan for now
for player in game.players:
cards_to_mulligan = random.sample(player.choice.cards, 0)
player.choice.choose(*cards_to_mulligan)
game.player_to_start = game.current_player
self.game = game
return game
