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Tablut board game player for Fundamentals of Artificial Intelligence class at UNIBO

License: MIT License

Python 98.44% Shell 0.94% PowerShell 0.62%
artificial-intelligence competition board-game tablut unibo ai

tablut's Issues

None TablutBoardPosition

Traceback (most recent call last):
File "c:\python37\lib\threading.py", line 926, in _bootstrap_inner
self.run()
File "c:\python37\lib\threading.py", line 870, in run
self._target(*self._args, **self.kwargs)
File "c:\python37\lib\site-packages\tablut_player_main
.py", line 98, in play
my_move = get_move(game, game_state, conf.MOVE_TIMEOUT-10)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 95, in get_move
move = alphabeta_player(game, state, timeout, max_depth)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 110, in alphabeta_player
return alphabeta_cutoff_search(state, game, timeout, alphabeta_cutoff_test, heuristic, max_depth)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 79, in alphabeta_cutoff_search
v, total = max_value(game.result(state, a), best_score, beta, 1)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 43, in max_value
alpha, beta, depth + 1)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 60, in min_value
alpha, beta, depth + 1)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 43, in max_value
alpha, beta, depth + 1)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 55, in min_value
return eval_fn(game.turn, state, gutils.other_player(state.to_move)), 1
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 124, in heuristic
return black_heuristic(turn, state)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 133, in black_heuristic
value -= king_moves_to_goals_count(state.pawns)
File "c:\python37\lib\site-packages\tablut_player\strategy.py", line 181, in king_moves_to_goals_count
distance = TablutBoard.simulate_distance(pawns, king, goal)
File "c:\python37\lib\site-packages\tablut_player\board.py", line 274, in simulate_distance
moves = cls.legal_moves(pawns, initial_coords)
File "c:\python37\lib\site-packages\tablut_player\board.py", line 84, in legal_moves
cls._possible_positions(pawn_coords)
File "c:\python37\lib\site-packages\tablut_player\board.py", line 95, in _possible_positions
TablutBoardPosition(row=i, col=pawn_coords.col)
AttributeError: 'NoneType' object has no attribute 'col'

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