def test_level1_vs_random(self):
board_size = (2, 2)
players = {
0: dnbpy.RandomPolicy(random_state=0),
1: dnbpy.Level1HeuristicPolicy(board_size, random_state=0)
}
result = dnbpy.duel(board_size, players)
self.assertEqual({'won': 18, 'tied': 5, 'lost': 1}, result[1])
board_size = (3, 3)
players = {
0: dnbpy.RandomPolicy(random_state=0),
1: dnbpy.Level1HeuristicPolicy(board_size, random_state=0)
}
result = dnbpy.duel(board_size, players)
self.assertEqual({'lost': 0, 'tied': 0, 'won': 48}, result[1])
def test_level1_vs_level3(self):
board_size = (3, 3)
players = {
0: dnbpy.Level1HeuristicPolicy(board_size, random_state=0),
1: dnbpy.Level3MinimaxPolicy(board_size, 3, random_state=0)
}
result = dnbpy.duel(board_size, players)
self.assertEqual({'tied': 0, 'lost': 5, 'won': 43}, result[1])
def test_level2_vs_level3_variable_depth(self):
board_size = (3, 3)
players = {
0: dnbpy.Level2HeuristicPolicy(board_size, random_state=0),
1: dnbpy.Level3MinimaxPolicy(board_size, random_state=0)
}
result = dnbpy.duel(board_size, players)
self.assertEqual({'tied': 0, 'lost': 7, 'won': 41}, result[1])
def test_level3_vs_level3update_alpha_variable_depth(self):
board_size = (3, 3)
players = {
0:
dnbpy.Level3MinimaxPolicy(board_size, random_state=0),
1:
dnbpy.Level3MinimaxPolicy(board_size,
random_state=0,
update_alpha=True)
}
result = dnbpy.duel(board_size, players)
self.assertEqual({'tied': 0, 'lost': 23, 'won': 25}, result[1])
def test_random_vs_level3update_alpha(self):
board_size = (3, 3)
players = {
0:
dnbpy.RandomPolicy(random_state=0),
1:
dnbpy.Level3MinimaxPolicy(board_size,
3,
random_state=0,
update_alpha=True)
}
result = dnbpy.duel(board_size, players)
self.assertEqual({'tied': 0, 'lost': 0, 'won': 48}, result[1])