from player import Player, Player_keras, Player_fast, Player_random # , ANN_Player
import gomoku_alpha_beta_ai as alpha_beta
import parameters
import game
import time
N_GAMES = 10
game_nr = 0
new_ai_win, new_ai_loose = 0, 0
super_start_time = time.time()
game = game.GomokuGame(parameters.DEFAULT_SIZE)
player1 = Player_keras(game.FIRST_PLAYER, random_start=parameters.RANDOM_START) # BLACK
player2 = Player_fast(game.getOtherPlayer(game.FIRST_PLAYER)) # WHITE
for i in range(N_GAMES):
start_time = time.time()
print("Starting test nr", game_nr)
# player2 = Player(game.getOtherPlayer(game.FIRST_PLAYER))
# layer_sizes = [400, 10, 1]
# weights, biases = new_ann.convert_all_to_weights_biases(layer_sizes, arr)
# ann = new_ann.neuralnetwork(weights, biases, layer_sizes, activation=[nnet.sigmoid, nnet.sigmoid, nnet.sigmoid])
# ann_player = ANN_Player(game.getOtherPlayer(game.FIRST_PLAYER), ann)
move_nr = 1
# Loop until the user clicks the close button.
done = False
# Used to manage how fast the screen updates
clock = pygame.time.Clock()
game = game.GomokuGame(parameters.DEFAULT_SIZE)
col_size = int(size[0] / game.size[0])
row_size = int(size[1] / game.size[1])
cell_padding = 1
ai_turn = parameters.AI_FIRST
p1 = Player_fast(game.FIRST_PLAYER, random_start=parameters.RANDOM_START)
# player = Player(game.FIRST_PLAYER, random_start=parameters.RANDOM_START)
# player = ANN_Player(game.FIRST_PLAYER, new_ann.loadNeuralNetwork(), random_start=parameters.RANDOM_START)
other_color = game.getOtherPlayer(p1.color)
p2 = None
if parameters.AI_VS_AI:
p2 = Player_fast(other_color)
# -------- Main Program Loop -----------
while not done:
# --- Main event loop
if parameters.PLAY_WITH_AI and ai_turn:
move = ai.rootAlphaBeta(game, parameters.DEFAULT_ALPHA_BETA_DEPTH, p1)
validMove = game.doMove(p1.color, move)
if validMove:
ai_turn = False
print("AI --> X:", move[0], "Y:", move[1])
if parameters.PLAY_WITH_AI and parameters.AI_VS_AI and not ai_turn:
