backgammon/eval.py

from board import Board

import numpy as np
import pubeval


class Eval:
    @staticmethod
    def make_random_move(board, sym, roll):
        legal_moves = Board.calculate_legal_states(board, sym, roll)
        return random.choice(list(legal_moves))
    
    
    # TODO: Test this, the score results should be deterministic
    @staticmethod
    def make_pubeval_move(board, sym, roll):
        legal_moves = Board.calculate_legal_states(board, sym, roll)
       # print("Board:", board)
       # print("Length:",len(board))
        moves_and_scores = [ ( board,
                               pubeval.eval(False, Board.board_features_to_pubeval(board, sym)))
                             for board
                             in legal_moves ]
        scores = [ x[1] for x in moves_and_scores ]
        best_move_pair = moves_and_scores[np.array(scores).argmax()]

        return best_move_pair