def main(file_path=FILE_LOCATION, game_number=16):
network = Neural_Network()
board = parse_training_file(file_path)
inp = simulate(board)
instance = inp[0][int(game_number)] # Some move within a game
b = Board(instance)
# Gather neural network outputs for each possible move on board
outputs = gather_outputs(b, network)
b.print_board()
# Call with additional parameter False to prevent PDF output
draw_graph(outputs)
def simulate(moves: MovesStruct,
should_print: bool = False) -> TrainingDataStruct:
board = Board()
all_boards = [board.get_board()]
p = -1
for x, y in moves:
assert board.move(x, y, p)
all_boards.append(board.get_board())
if should_print:
board.print_board()
winner, _ = board.decide_winner()
if winner != 0:
return all_boards, winner
p = -p
raise ValueError(
'Winner still not determined after all moves have been made.')