# Michael Burgess (py@mjburgess.co.uk) from itertools import product num_attacking_dice = 3 # A num_defending_dice = 2 # D die = range(1, 7) attacking_rolls = [sum(possibility) for possibility in product(die, repeat=num_attacking_dice)] defending_rolls = [sum(possibility) for possibility in product(die, repeat=num_defending_dice)] results = [attack - defence for attack in attacking_rolls for defence in defending_rolls] num_wins = len(filter(lambda result: result > 0, results)) num_loses = len(filter(lambda result: result < 0, results)) num_draws = len(filter(lambda result: result == 0, results)) num_all = float(len(results)) prob_win = float(num_wins) / num_all prob_draw = float(num_draws) / num_all prob_lose = float(num_loses) / num_all print("Probaility of winning %.1f, of drawing %.1f, of losing %.1f" % (prob_win * 100, prob_draw * 100, prob_lose * 100))
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