def __init__(self, players, turns, repetitions, outcome,
with_morality=True):
"""
Args:
players (list): a list of player objects.
turns (int): the number of turns per interaction.
repetitions (int): the number of time the round robin was repeated.
outcome (dict): returned from the RoundRobin class and containing
various sets of results for processing by this class.
with_morality (bool): a flag to determine whether morality metrics
should be calculated.
"""
self.players = players
self.nplayers = len(players)
self.turns = turns
self.repetitions = repetitions
self.outcome = outcome
self.results = self._results(outcome)
self.scores = None
self.normalised_scores = None
self.ranking = None
self.ranked_names = None
self.payoff_matrix = None
self.wins = None
self.cooperation = None
self.normalised_cooperation = None
self.vengeful_cooperation = None
self.cooperating_rating = None
self.good_partner_matrix = None
self.good_partner_rating = None
self.eigenjesus_rating = None
self.eigenmoses_rating = None
if 'payoff' in self.results:
payoff = self.results['payoff']
self.scores = ap.scores(payoff)
self.normalised_scores = ap.normalised_scores(self.scores, turns)
self.ranking = ap.ranking(self.scores)
self.ranked_names = ap.ranked_names(players, self.ranking)
self.payoff_matrix, self.payoff_stddevs = (ap.normalised_payoff(
payoff, turns))
self.wins = ap.wins(payoff)
self.payoff_diffs_means = ap.payoff_diffs_means(payoff, turns)
self.score_diffs = ap.score_diffs(payoff, turns)
if 'cooperation' in self.results and with_morality:
self.cooperation = ac.cooperation(self.results['cooperation'])
self.normalised_cooperation = ac.normalised_cooperation(
self.cooperation, turns, repetitions)
self.vengeful_cooperation = ac.vengeful_cooperation(
self.normalised_cooperation)
self.cooperating_rating = ac.cooperating_rating(
self.cooperation, len(players), turns, repetitions)
self.good_partner_matrix = ac.good_partner_matrix(
self.results['cooperation'], len(players), repetitions)
self.good_partner_rating = ac.good_partner_rating(
self.good_partner_matrix, len(players), repetitions)
self.eigenjesus_rating = ac.eigenvector(self.normalised_cooperation)
self.eigenmoses_rating = ac.eigenvector(self.vengeful_cooperation)
def __init__(self,
players,
turns,
repetitions,
outcome,
with_morality=True):
"""
Args:
players (list): a list of player objects.
turns (int): the number of turns per interaction.
repetitions (int): the number of time the round robin was repeated.
outcome (dict): returned from the RoundRobin class and containing
various sets of results for processing by this class.
with_morality (bool): a flag to determine whether morality metrics
should be calculated.
"""
self.players = players
self.nplayers = len(players)
self.turns = turns
self.repetitions = repetitions
self.outcome = outcome
self.results = self._results(outcome)
self.scores = None
self.normalised_scores = None
self.ranking = None
self.ranked_names = None
self.payoff_matrix = None
self.wins = None
self.cooperation = None
self.normalised_cooperation = None
self.vengeful_cooperation = None
self.cooperating_rating = None
self.good_partner_matrix = None
self.good_partner_rating = None
self.eigenjesus_rating = None
self.eigenmoses_rating = None
if 'payoff' in self.results:
payoff = self.results['payoff']
self.scores = ap.scores(payoff)
self.normalised_scores = ap.normalised_scores(self.scores, turns)
self.ranking = ap.ranking(self.scores)
self.ranked_names = ap.ranked_names(players, self.ranking)
self.payoff_matrix, self.payoff_stddevs = (ap.normalised_payoff(
payoff, turns))
self.wins = ap.wins(payoff)
self.payoff_diffs_means = ap.payoff_diffs_means(payoff, turns)
self.score_diffs = ap.score_diffs(payoff, turns)
if 'cooperation' in self.results and with_morality:
self.cooperation = ac.cooperation(self.results['cooperation'])
self.normalised_cooperation = ac.normalised_cooperation(
self.cooperation, turns, repetitions)
self.vengeful_cooperation = ac.vengeful_cooperation(
self.normalised_cooperation)
self.cooperating_rating = ac.cooperating_rating(
self.cooperation, len(players), turns, repetitions)
self.good_partner_matrix = ac.good_partner_matrix(
self.results['cooperation'], len(players), repetitions)
self.good_partner_rating = ac.good_partner_rating(
self.good_partner_matrix, len(players), repetitions)
self.eigenjesus_rating = ac.eigenvector(
self.normalised_cooperation)
self.eigenmoses_rating = ac.eigenvector(self.vengeful_cooperation)
def test_good_partner_rating(self):
good_partner_rating = ac.good_partner_rating(
self.expected_good_partner_matrix, 3, 2
)
self.assertEqual(good_partner_rating, self.expected_good_partner_rating)
def test_good_partner_rating(self):
good_partner_rating = ac.good_partner_rating(
self.expected_good_partner_matrix, 3, 2)
self.assertEqual(good_partner_rating,
self.expected_good_partner_rating)