def setUpClass(cls):
cls.game = axl.Game()
cls.players = [s() for s in test_strategies]
cls.test_name = "test"
cls.test_repetitions = test_repetitions
cls.test_turns = test_turns
cls.test_edges = test_edges
def test_different_game(self):
# Possible for Cooperator to become fixed when using a different game
p1, p2 = axl.Cooperator(), axl.Defector()
game = axl.Game(r=4, p=2, s=1, t=6)
mp = MoranProcess((p1, p2), turns=5, game=game, seed=88)
populations = mp.play()
self.assertEqual(mp.winning_strategy_name, str(p2))
def test_property_score(self, r, p, s, t):
"""Use the hypothesis library to test score"""
game = axelrod.Game(r, s, t, p)
self.assertEqual(game.score((C, C)), (r, r))
self.assertEqual(game.score((D, D)), (p, p))
self.assertEqual(game.score((C, D)), (s, t))
self.assertEqual(game.score((D, C)), (t, s))
def test_scores_with_different_game(self):
game = axelrod.Game(p=-1, r=-1, s=-1, t=-1)
rs = axelrod.ResultSet(self.players, self.interactions,
progress_bar=False, game=game)
for player in rs.scores:
for score in player:
self.assertFalse(score > 0)
def setUpClass(cls):
cls.game = axl.Game()
cls.players = [s() for s in test_strategies]
cls.test_name = "test"
cls.test_repetitions = test_repetitions
cls.test_turns = test_turns
cls.expected_payoff = [
[600, 600, 0, 600, 600],
[600, 600, 199, 600, 600],
[1000, 204, 200, 204, 204],
[600, 600, 199, 600, 600],
[600, 600, 199, 600, 600],
]
cls.expected_cooperation = [
[200, 200, 200, 200, 200],
[200, 200, 1, 200, 200],
[0, 0, 0, 0, 0],
[200, 200, 1, 200, 200],
[200, 200, 1, 200, 200],
]
path = pathlib.Path("test_outputs/test_tournament.csv")
cls.filename = axl_filename(path)
def test_random_score(self, r, p, s, t):
"""Test score method with random scores using the hypothesis library."""
game = axl.Game(r, s, t, p)
self.assertEqual(game.score((C, C)), (r, r))
self.assertEqual(game.score((D, D)), (p, p))
self.assertEqual(game.score((C, D)), (s, t))
self.assertEqual(game.score((D, C)), (t, s))
def setUpClass(cls):
cls.game = axelrod.Game()
cls.players = [s() for s in test_strategies]
cls.test_name = "test"
cls.test_repetitions = test_repetitions
cls.test_prob_end = test_prob_end
cls.test_edges = test_edges
def generate_match_results(player,
opponent,
turns=200,
repetitions=100,
noise=None):
"""Generates match date between two players. Yields rows of the form
[(C, D), (C, C), ...]."""
# Make sure we have two distinct player objects
if not noise:
noise = 0
if player == opponent:
opponent = opponent.clone()
# Set tournament_attributes
tournament_attributes = {'length': turns, 'game': axelrod.Game()}
player.tournament_attributes = tournament_attributes
opponent.tournament_attributes = tournament_attributes
# Run matches
row = []
for _ in range(repetitions):
# Compute a new match
row = []
# Reset any accumulated history
player.reset()
opponent.reset()
# Compute rounds and write to CSV
for _ in range(turns):
player.play(opponent, noise=noise)
yield zip(player.history, opponent.history)
def games(draw, prisoners_dilemma=True, max_value=100):
"""
A hypothesis decorator to return a random game.
Parameters
----------
prisoners_dilemma : bool
If set not True the R,P,S,T values will be uniformly random. True by
default which ensures T > R > P > S and 2R > T + S.
max_value : the maximal payoff value
"""
if prisoners_dilemma:
s_upper_bound = max_value - 4 # Ensures there is enough room
s = draw(integers(max_value=s_upper_bound))
t_lower_bound = s + 3 # Ensures there is enough room
t = draw(integers(min_value=t_lower_bound, max_value=max_value))
r_upper_bound = t - 1
r_lower_bound = min(max(int((t + s) / 2), s) + 2, r_upper_bound)
r = draw(integers(min_value=r_lower_bound, max_value=r_upper_bound))
p_lower_bound = s + 1
p_upper_bound = r - 1
p = draw(integers(min_value=p_lower_bound, max_value=p_upper_bound))
else:
s = draw(integers(max_value=max_value))
t = draw(integers(max_value=max_value))
r = draw(integers(max_value=max_value))
p = draw(integers(max_value=max_value))
game = axl.Game(r=r, s=s, t=t, p=p)
return game
def test_default_scores(self):
expected_scores = {
(C, D): (0, 5),
(D, C): (5, 0),
(D, D): (1, 1),
(C, C): (3, 3),
}
self.assertEqual(axl.Game().scores, expected_scores)
def test_serial_play_with_different_game(self):
# Test that a non default game is passed to the result set
game = axl.Game(p=-1, r=-1, s=-1, t=-1)
tournament = axl.Tournament(
name=self.test_name, players=self.players, game=game, turns=1, repetitions=1
)
results = tournament.play(progress_bar=False)
self.assertLessEqual(np.max(results.scores), 0)
def test_scoring_with_alternate_game(self):
"""Tests that the alternate game is used in scoring."""
player = axl.Adaptive()
opponent = axl.Alternator()
expected_actions = list(zip([C, C, C], [C, D, C]))
attrs = {"scores": {C: 7, D: 0}}
match_attributes = {"game": axl.Game(-3, 10, 10, 10)}
self.versus_test(opponent, expected_actions, turns=3, attrs=attrs, seed=9,
match_attributes=match_attributes)
def cumulative_scores(h1, h2):
"""Computes the cumulative scores of each player."""
ss1, ss2 = [], []
game = axl.Game()
for p1, p2 in zip(h1, h2):
s1, s2 = game.score((p1, p2))
ss1.append(s1)
ss2.append(s2)
return np.cumsum(ss1), np.cumsum(ss2)
def test_scoring(self):
player = axl.Adaptive()
opponent = axl.Cooperator()
player.play(opponent)
player.play(opponent)
self.assertEqual(3, player.scores[C])
game = axl.Game(-3, 10, 10, 10)
player.set_match_attributes(game=game)
player.play(opponent)
self.assertEqual(0, player.scores[C])
def test_serial_play_with_different_game(self):
# Test that a non default game is passed to the result set
game = axelrod.Game(p=-1, r=-1, s=-1, t=-1)
tournament = axelrod.Tournament(name=self.test_name,
players=self.players,
game=game,
turns=1,
repetitions=1)
results = tournament.play(progress_bar=False)
self.assertEqual(results.game.RPST(), (-1, -1, -1, -1))
def score_single(me, other, iterations=200):
"""
Return the average score per turn for a player in a single match against
an opponent.
"""
g = axelrod.Game()
for _ in range(iterations):
me.play(other)
return sum([g.score(pair)[0]
for pair in zip(me.history, other.history)]) / iterations
def test_property_init(self, r, p, s, t):
"""Use the hypothesis library to test init"""
expected_scores = {
(C, D): (s, t),
(D, C): (t, s),
(D, D): (p, p),
(C, C): (r, r)
}
game = axelrod.Game(r, s, t, p)
self.assertEqual(game.scores, expected_scores)
def test_random_init(self, r, p, s, t):
"""Test init with random scores using the hypothesis library."""
expected_scores = {
(C, D): (s, t),
(D, C): (t, s),
(D, D): (p, p),
(C, C): (r, r),
}
game = axl.Game(r, s, t, p)
self.assertEqual(game.scores, expected_scores)
def setUpClass(cls):
cls.game = axelrod.Game()
cls.players = [s() for s in test_strategies]
cls.test_name = 'test'
cls.test_repetitions = test_repetitions
cls.test_turns = test_turns
cls.expected_payoff = [[600, 600, 0, 600, 600],
[600, 600, 199, 600, 600],
[1000, 204, 200, 204, 204],
[600, 600, 199, 600, 600],
[600, 600, 199, 600, 600]]
cls.expected_cooperation = [[200, 200, 200, 200, 200],
[200, 200, 1, 200, 200], [0, 0, 0, 0, 0],
[200, 200, 1, 200, 200],
[200, 200, 1, 200, 200]]
def setUpClass(cls):
cls.game = axelrod.Game()
cls.players = [
axelrod.Cooperator(),
axelrod.TitForTat(),
axelrod.Defector(),
axelrod.Grudger(),
axelrod.GoByMajority()]
cls.player_names = [str(p) for p in cls.players]
cls.test_name = 'test'
cls.test_repetitions = 5
cls.expected_outcome = [
('Cooperator', [180, 180, 180, 180, 180]),
('Defector', [172, 172, 172, 172, 172]),
('Grudger', [199, 199, 199, 199, 199]),
('Soft Go By Majority', [199, 199, 199, 199, 199]),
('Tit For Tat', [199, 199, 199, 199, 199])]
cls.expected_outcome.sort()
def setUpClass(cls):
cls.game = axelrod.Game()
cls.players = [
axelrod.Cooperator(),
axelrod.TitForTat(),
axelrod.Defector(),
axelrod.Grudger(),
axelrod.GoByMajority(),
]
cls.player_names = [str(p) for p in cls.players]
cls.test_name = "test"
cls.test_repetitions = 3
cls.expected_outcome = [
("Cooperator", [45, 45, 45]),
("Defector", [52, 52, 52]),
("Grudger", [49, 49, 49]),
("Soft Go By Majority", [49, 49, 49]),
("Tit For Tat", [49, 49, 49]),
]
cls.expected_outcome.sort()
def setUpClass(cls):
cls.game = axelrod.Game()
cls.players = [
axelrod.Cooperator(),
axelrod.TitForTat(),
axelrod.Defector(),
axelrod.Grudger(),
axelrod.GoByMajority()
]
cls.test_name = 'test'
cls.test_repetitions = 5
cls.expected_payoff = [[600, 600, 0, 600, 600],
[600, 600, 199, 600, 600],
[1000, 204, 200.0, 204, 204],
[600, 600, 199, 600.0, 600],
[600, 600, 199, 600, 600]]
cls.expected_cooperation = [[200, 200, 200, 200, 200],
[200, 200, 1, 200, 200],
[0.0, 0.0, 0.0, 0.0, 0.0],
[200, 200, 1, 200, 200],
[200, 200, 1, 200, 200]]
def test_strategy(self):
R, P, S, T = axelrod.Game().RPST()
player = self.player(l=R)
axelrod.seed(0)
match = axelrod.Match((player, axelrod.Alternator()), turns=200)
match.play()
player = self.player(l=P)
axelrod.seed(0)
match = axelrod.Match((player, axelrod.Alternator()), turns=200)
match.play()
player = self.player(s=1)
axelrod.seed(0)
match = axelrod.Match((player, axelrod.Alternator()), turns=200)
match.play()
l = 2
s_min = - min((T - l) / (l - S), (l - S) / (T - l))
player = self.player(s=s_min, l=2)
axelrod.seed(0)
match = axelrod.Match((player, axelrod.Alternator()), turns=200)
match.play()
def setUpClass(cls):
cls.game = axelrod.Game()
def test_wrong_class_equality(self):
self.assertNotEqual(axl.Game(), "wrong class")
def test_default_RPST(self):
expected_values = (3, 1, 0, 5)
self.assertEqual(axl.Game().RPST(), expected_values)
def test_default_score(self):
game = axl.Game()
self.assertEqual(game.score((C, C)), (3, 3))
self.assertEqual(game.score((D, D)), (1, 1))
self.assertEqual(game.score((C, D)), (0, 5))
self.assertEqual(game.score((D, C)), (5, 0))
def test_default_equality(self):
self.assertEqual(axl.Game(), axl.Game())
def test_not_default_equality(self):
self.assertEqual(axl.Game(1, 2, 3, 4), axl.Game(1, 2, 3, 4))
self.assertNotEqual(axl.Game(1, 2, 3, 4), axl.Game(1, 2, 3, 5))
self.assertNotEqual(axl.Game(1, 2, 3, 4), axl.Game())
def test_random_RPST(self, r, p, s, t):
"""Test RPST method with random scores using the hypothesis library."""
game = axl.Game(r, s, t, p)
self.assertEqual(game.RPST(), (r, p, s, t))
