def fingerprint(self, turns=50, repetitions=10, step=0.01, processes=None,
filename=None, in_memory=False, progress_bar=True):
"""Build and play the spatial tournament.
Creates the probes and their edges then builds a spatial tournament.
When the coordinates of the probe sum to more than 1, the dual of the
probe is taken instead and then the Joss-Ann Transformer is applied. If
the coordinates sum to less than 1 (or equal), then only the Joss-Ann is
applied, a dual is not required.
Parameters
----------
turns : integer, optional
The number of turns per match
repetitions : integer, optional
The number of times the round robin should be repeated
step : float, optional
The separation between each Point. Smaller steps will
produce more Points that will be closer together.
processes : integer, optional
The number of processes to be used for parallel processing
progress_bar : bool
Whether or not to create a progress bar which will be updated
Returns
----------
self.data : dictionary
A dictionary where the keys are coordinates of the form (x, y) and
the values are the mean score for the corresponding interactions.
"""
if on_windows and (filename is None):
in_memory = True
elif filename is not None:
outputfile = open(filename, 'w')
filename = outputfile.name
else:
outputfile = NamedTemporaryFile(mode='w')
filename = outputfile.name
edges, tourn_players = self.construct_tournament_elements(step,
progress_bar=progress_bar)
self.step = step
self.spatial_tournament = axl.SpatialTournament(tourn_players,
turns=turns,
repetitions=repetitions,
edges=edges)
self.spatial_tournament.play(build_results=False,
filename=filename,
processes=processes,
in_memory=in_memory,
progress_bar=progress_bar)
if in_memory:
self.interactions = self.spatial_tournament.interactions_dict
else:
self.interactions = read_interactions_from_file(filename,
progress_bar=progress_bar)
self.data = self.generate_data(self.interactions, self.points, edges)
return self.data
def test_equality_with_prob_end(self, tournament):
filename = "test_outputs/test_results.csv"
tournament.play(filename=filename, progress_bar=False, build_results=False)
brs = axelrod.ResultSetFromFile(filename, progress_bar=False)
interactions = iu.read_interactions_from_file(filename, progress_bar=False)
rs = axelrod.ResultSet(tournament.players, interactions, progress_bar=False)
# Not testing full equality because of floating point errors.
self.assertEqual(rs.ranked_names, brs.ranked_names)
self.assertEqual(rs.scores, brs.scores)
self.assertEqual(rs.match_lengths, brs.match_lengths)
self.assertEqual(rs.cooperation, brs.cooperation)
def test_read_interactions_from_file(self):
tmp_file = tempfile.NamedTemporaryFile(mode="w", delete=False)
players = [axelrod.Cooperator(), axelrod.Defector()]
tournament = axelrod.Tournament(players=players, turns=2, repetitions=3)
tournament.play(filename=tmp_file.name)
tmp_file.close()
expected_interactions = {
(0, 0): [[(C, C), (C, C)] for _ in range(3)],
(0, 1): [[(C, D), (C, D)] for _ in range(3)],
(1, 1): [[(D, D), (D, D)] for _ in range(3)],
}
interactions = iu.read_interactions_from_file(tmp_file.name, progress_bar=False)
self.assertEqual(expected_interactions, interactions)
def test_read_interactions_from_file(self):
tmp_file = tempfile.NamedTemporaryFile(mode="w", delete=False)
players = [axelrod.Cooperator(), axelrod.Defector()]
tournament = axelrod.Tournament(players=players, turns=2, repetitions=3)
tournament.play(filename=tmp_file.name)
tmp_file.close()
expected_interactions = {
(0, 0): [[(C, C), (C, C)] for _ in range(3)],
(0, 1): [[(C, D), (C, D)] for _ in range(3)],
(1, 1): [[(D, D), (D, D)] for _ in range(3)],
}
interactions = iu.read_interactions_from_file(tmp_file.name, progress_bar=False)
self.assertEqual(expected_interactions, interactions)
def test_equality_with_prob_end(self, tournament):
filename = "test_outputs/test_results.csv"
tournament.play(filename=filename, progress_bar=False,
build_results=False)
brs = axelrod.ResultSetFromFile(filename, progress_bar=False)
interactions = iu.read_interactions_from_file(filename)
rs = axelrod.ResultSet(tournament.players, interactions,
progress_bar=False)
# Not testing full equality because of floating point errors.
self.assertEqual(rs.ranked_names, brs.ranked_names)
self.assertEqual(rs.scores, brs.scores)
self.assertEqual(rs.match_lengths, brs.match_lengths)
self.assertEqual(rs.cooperation, brs.cooperation)
def test_equality_with_round_robin(self, tournament):
filename = "test_outputs/test_results.csv"
tournament.play(filename=filename, progress_bar=False, build_results=False)
brs = axelrod.ResultSetFromFile(filename, progress_bar=False)
interactions = iu.read_interactions_from_file(filename, progress_bar=False)
rs = axelrod.ResultSet(tournament.players, interactions, progress_bar=False)
# Not testing full equality because of floating point errors.
self.assertEqual(rs.scores, brs.scores)
self.assertEqual(rs.wins, brs.wins)
self.assertEqual(rs.match_lengths, brs.match_lengths)
self.assertEqual(rs.cooperation, brs.cooperation)
# Test that players are in the results (due to floating point errors
# the order might not be the same)
self.assertEqual(set(rs.ranked_names), set(brs.ranked_names))
def fingerprint(
self,
turns: int = 50,
repetitions: int = 10,
step: float = 0.01,
processes: int = None,
filename: str = None,
progress_bar: bool = True,
) -> dict:
"""Build and play the spatial tournament.
Creates the probes and their edges then builds a spatial tournament.
When the coordinates of the probe sum to more than 1, the dual of the
probe is taken instead and then the Joss-Ann Transformer is applied. If
the coordinates sum to less than 1 (or equal), then only the Joss-Ann is
applied, a dual is not required.
Parameters
----------
turns : int, optional
The number of turns per match
repetitions : int, optional
The number of times the round robin should be repeated
step : float, optional
The separation between each Point. Smaller steps will
produce more Points that will be closer together.
processes : int, optional
The number of processes to be used for parallel processing
filename: str, optional
The name of the file for self.spatial_tournament's interactions.
if None, will auto-generate a filename.
progress_bar : bool
Whether or not to create a progress bar which will be updated
Returns
----------
self.data : dict
A dictionary where the keys are coordinates of the form (x, y) and
the values are the mean score for the corresponding interactions.
"""
temp_file_descriptor = None
if filename is None:
temp_file_descriptor, filename = mkstemp() # type: ignore
edges, tourn_players = self._construct_tournament_elements(
step, progress_bar=progress_bar)
self.step = step
self.spatial_tournament = axl.Tournament(tourn_players,
turns=turns,
repetitions=repetitions,
edges=edges)
self.spatial_tournament.play(
build_results=False,
filename=filename,
processes=processes,
progress_bar=progress_bar,
)
self.interactions = read_interactions_from_file(
filename, progress_bar=progress_bar)
if temp_file_descriptor is not None:
assert filename is not None
os.close(temp_file_descriptor)
os.remove(filename)
self.data = _generate_data(self.interactions, self.points, edges)
return self.data
def fingerprint(
self,
turns: int = 50,
repetitions: int = 10,
step: float = 0.01,
processes: int = None,
filename: str = None,
progress_bar: bool = True,
) -> dict:
"""Build and play the spatial tournament.
Creates the probes and their edges then builds a spatial tournament.
When the coordinates of the probe sum to more than 1, the dual of the
probe is taken instead and then the Joss-Ann Transformer is applied. If
the coordinates sum to less than 1 (or equal), then only the Joss-Ann is
applied, a dual is not required.
Parameters
----------
turns : int, optional
The number of turns per match
repetitions : int, optional
The number of times the round robin should be repeated
step : float, optional
The separation between each Point. Smaller steps will
produce more Points that will be closer together.
processes : int, optional
The number of processes to be used for parallel processing
filename: str, optional
The name of the file for self.spatial_tournament's interactions.
if None, will auto-generate a filename.
progress_bar : bool
Whether or not to create a progress bar which will be updated
Returns
----------
self.data : dict
A dictionary where the keys are coordinates of the form (x, y) and
the values are the mean score for the corresponding interactions.
"""
temp_file_descriptor = None
if filename is None:
temp_file_descriptor, filename = mkstemp() # type: ignore
edges, tourn_players = self._construct_tournament_elements(
step, progress_bar=progress_bar
)
self.step = step
self.spatial_tournament = axl.Tournament(
tourn_players, turns=turns, repetitions=repetitions, edges=edges
)
self.spatial_tournament.play(
build_results=False,
filename=filename,
processes=processes,
progress_bar=progress_bar,
)
self.interactions = read_interactions_from_file(
filename, progress_bar=progress_bar
)
if temp_file_descriptor is not None:
assert filename is not None
os.close(temp_file_descriptor)
os.remove(filename)
self.data = _generate_data(self.interactions, self.points, edges)
return self.data
class TestResultSetFromFile(unittest.TestCase):
filename = "test_outputs/test_results_from_file.csv"
players = [axelrod.Cooperator(),
axelrod.TitForTat(),
axelrod.Defector()]
tournament = axelrod.Tournament(players=players, turns=2, repetitions=3)
tournament.play(filename=filename)
interactions = iu.read_interactions_from_file(filename)
def test_init(self):
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
self.assertEqual(brs.players, [str(p) for p in self.players])
self.assertEqual(brs.nplayers, len(self.players))
self.assertEqual(brs.nrepetitions, 3)
def test_init_with_different_game(self):
game = axelrod.Game(p=-1, r=-1, s=-1, t=-1)
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False,
game=game)
self.assertEqual(brs.game.RPST(), (-1, -1, -1, -1))
def test_init_with_progress_bar(self):
"""Just able to test that no error occurs"""
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=True)
self.assertEqual(brs.nplayers, len(self.players))
self.assertEqual(brs.nrepetitions, 3)
self.assertEqual(brs.num_interactions, 18)
def test_init_with_num_interactions(self):
"""Just able to test that no error occurs"""
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=True,
num_interactions=18)
self.assertEqual(brs.nplayers, len(self.players))
self.assertEqual(brs.nrepetitions, 3)
self.assertEqual(brs.num_interactions, 18)
def test_init_with_players_nrepetitions(self):
"""Just able to test that no error occurs"""
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=True,
num_interactions=18, nrepetitions=3,
players=[str(p) for p in self.players])
self.assertEqual(brs.nplayers, len(self.players))
self.assertEqual(brs.nrepetitions, 3)
self.assertEqual(brs.num_interactions, 18)
def test_equality(self):
"""A test that checks overall equality by comparing to the base result
set class"""
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
rs = axelrod.ResultSet(self.players, self.interactions, progress_bar=False)
self.assertEqual(rs, brs)
def test_interactions_equality(self):
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False,
keep_interactions=True)
rs = axelrod.ResultSet(self.players, self.interactions, progress_bar=False)
self.assertEqual(rs.interactions, brs.interactions)
@given(tournament=tournaments(max_size=5,
max_turns=5,
max_noise=0,
max_repetitions=3))
@settings(max_examples=50, timeout=0)
def test_equality_with_round_robin(self, tournament):
filename = "test_outputs/test_results.csv"
tournament.play(filename=filename, progress_bar=False,
build_results=False)
brs = axelrod.ResultSetFromFile(filename, progress_bar=False)
interactions = iu.read_interactions_from_file(filename)
rs = axelrod.ResultSet(tournament.players, interactions,
progress_bar=False)
# Not testing full equality because of floating point errors.
self.assertEqual(rs.ranked_names, brs.ranked_names)
self.assertEqual(rs.scores, brs.scores)
self.assertEqual(rs.match_lengths, brs.match_lengths)
self.assertEqual(rs.cooperation, brs.cooperation)
@given(tournament=prob_end_tournaments(max_size=5,
min_prob_end=.7,
max_repetitions=3))
@settings(max_examples=50, timeout=0)
def test_equality_with_prob_end(self, tournament):
filename = "test_outputs/test_results.csv"
tournament.play(filename=filename, progress_bar=False,
build_results=False)
brs = axelrod.ResultSetFromFile(filename, progress_bar=False)
interactions = iu.read_interactions_from_file(filename)
rs = axelrod.ResultSet(tournament.players, interactions,
progress_bar=False)
# Not testing full equality because of floating point errors.
self.assertEqual(rs.ranked_names, brs.ranked_names)
self.assertEqual(rs.scores, brs.scores)
self.assertEqual(rs.match_lengths, brs.match_lengths)
self.assertEqual(rs.cooperation, brs.cooperation)
def test_read_players_and_repetitions(self):
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
players, nrepetitions = brs._read_players_and_repetition_numbers()
expected_players = ['Cooperator', 'Tit For Tat', 'Defector']
self.assertEqual(brs.players, expected_players)
self.assertEqual(nrepetitions, 3)
def test_update_repetitions(self):
brs = axelrod.ResultSetFromFile(filename=self.filename, progress_bar=False)
brs.repetitions_d = {}
brs._update_repetitions((0, 0))
self.assertEqual(brs.repetitions_d, {(0, 0): 1})
brs._update_repetitions((0, 0))
self.assertEqual(brs.repetitions_d, {(0, 0): 2})
brs._update_repetitions((0, 1))
self.assertEqual(brs.repetitions_d, {(0, 0): 2, (0, 1): 1})
def test_build_repetitions(self):
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
brs.repetitions_d = {}
brs._update_repetitions((0, 0))
brs._update_repetitions((0, 0))
nrepetitions = brs._build_nrepetitions()
self.assertEqual(nrepetitions, 2)
self.assertFalse(hasattr(brs, 'repetitions_d'))
def test_update_players(self):
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
brs.players_d = {}
brs._update_players((0, 0), ('Cooperator', 'Cooperator'))
self.assertEqual(brs.players_d, {0: 'Cooperator'})
brs._update_players((0, 0), ('Cooperator', 'Cooperator'))
self.assertEqual(brs.players_d, {0: 'Cooperator'})
brs._update_players((0, 1), ('Cooperator', 'Defector'))
self.assertEqual(brs.players_d, {0: 'Cooperator', 1: 'Defector'})
def test_build_players(self):
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
brs.players_d = {}
brs._update_players((0, 0), ('Cooperator', 'Cooperator'))
brs._update_players((0, 1), ('Cooperator', 'Defector'))
players = brs._build_players()
self.assertEqual(players, ['Cooperator', 'Defector'])
self.assertFalse(hasattr(brs, 'players_d'))
def test_build_read_match_chunks(self):
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
matches = brs.read_match_chunks()
chunk = next(matches)
self.assertEqual(chunk[0], ['0'] * 2 + ['Cooperator'] * 2 + ['CC'] * 2)
self.assertEqual(chunk[1], ['0'] * 2 + ['Cooperator'] * 2 + ['CC'] * 2)
self.assertEqual(chunk[2], ['0'] * 2 + ['Cooperator'] * 2 + ['CC'] * 2)
self.assertEqual(len(list(matches)), 5)
def test_build_all(self):
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
rs = axelrod.ResultSet(self.players, self.interactions,
progress_bar=False)
brs._build_empty_metrics()
self.assertNotEqual(brs, rs)
brs._build_score_related_metrics(progress_bar=False)
self.assertEqual(brs, rs)
def test_buid_empty_metrics(self):
plist = range(3)
nrepetitions = 3
replist = range(nrepetitions)
expected_match_lengths = [[[0 for opponent in plist] for player in plist]
for _ in replist]
expected_wins = [[0 for _ in replist] for player in plist]
expected_scores = [[0 for _ in replist] for player in plist]
expected_normalised_scores = [[[] for _ in replist] for player in plist]
expected_payoffs = [[[] for opponent in plist] for player in plist]
expected_score_diffs = [[[0] * nrepetitions for opponent in plist]
for player in plist]
expected_cooperation = [[0 for opponent in plist] for player in plist]
expected_normalised_cooperation = [[[] for opponent in plist]
for player in plist]
expected_good_partner_matrix = [[0 for opponent in plist]
for player in plist]
expected_good_partner_rating = [0 for player in plist]
brs = axelrod.ResultSetFromFile(self.filename, progress_bar=False)
brs.match_lengths = []
brs.wins = []
brs.scores = []
brs.normalised_scores = []
brs.payoffs = []
brs.score_diffs = []
brs.cooperation = []
brs.normalised_cooperation = []
brs.good_partner_matrix = []
brs.total_interactions = []
brs.good_partner_rating = []
brs._build_empty_metrics()
self.assertEqual(brs.match_lengths, expected_match_lengths)
self.assertEqual(brs.wins, expected_wins)
self.assertEqual(brs.scores, expected_scores)
self.assertEqual(brs.normalised_scores, expected_normalised_scores)
self.assertEqual(brs.payoffs, expected_payoffs)
self.assertEqual(brs.score_diffs, expected_score_diffs)
self.assertEqual(brs.cooperation, expected_cooperation)
self.assertEqual(brs.normalised_cooperation,
expected_normalised_cooperation)
self.assertEqual(brs.good_partner_matrix, expected_good_partner_matrix)
self.assertEqual(brs.good_partner_rating, expected_good_partner_rating)
