def __init__(self, strategy_name):
StrategyBase.__init__(self, strategy_name)
# loads score chart from file
self.score_chart = scorechart.from_file(
Config.get_instance().get(Config.SCORECHART_FILE)
)
def __init__(self, strategy_name, config_name):
super(FictitiousPlay, self).__init__(strategy_name)
config = Config.get_instance()
if config_name is None:
raise Exception('Fictitious Play must have a configuration specified at the initialization time')
self.set_config_name(config_name)
# read score chart from a file
self.score_chart = scorechart.from_file(
config.get(Config.SCORECHART_FILE)
)
# get weights
self.initial_weights = config.get(self.config_name)[Config.FICTITIOUS_INITIAL_WEIGHTS]
self.running_weights = config.get(self.config_name)[Config.FICTITIOUS_RUNNING_WEIGHTS]
# set counters
# Note: self.bot_list can't be used here because it isn't initialized from the config file yet
self.opponent_choice_counter = {choice_name: self.initial_weights[choice_name] for choice_name in
config.get_bots()}
self.count_sum = sum([x for _, x in self.opponent_choice_counter.items()])
# set config og stochastic feature. Default value is True
if self.STOCHASTIC_TAG in config.get(self.config_name):
self.be_stochastic = config.get(self.config_name)[self.STOCHASTIC_TAG]
else:
self.be_stochastic = True
def __init__(self, strategy_name):
"""Build second-guessers for 50 strategies: 36 history-based strategies,
12 simple frequency-based strategies, the constant-move strategy, and
the basic random-number-generator strategy. Also build 6 meta second
guessers to evaluate 6 different time horizons on which to score
the 50 strategies' second-guesses."""
super(Iocaine, self).__init__(strategy_name)
config = Config.get_instance()
self.strategy_name = strategy_name
self.predictors = []
self.predict_history = self.predictor((len(ages), 2, 3))
self.predict_frequency = self.predictor((len(ages), 2))
self.predict_fixed = self.predictor()
self.predict_random = self.predictor()
self.predict_meta = [Predictor() for _ in xrange(len(ages))]
self.stats = [Stats(num=len(config.data[config.BOTS])) for _ in xrange(2)]
self.histories = [[], [], []]
# read score chart from a file
self.score_chart = scorechart.from_file(
config.get(Config.SCORECHART_FILE),
self.bot_list
)
# Returns who x beats (limited by n)
self._beats = lambda x, n=-1: get_beats_list(self.score_chart, x, n=n)
# Returns who x loses to (limited by n)
self._loses_to = lambda x, n=-1: get_loses_to_list(self.score_chart, x, n=n)
def __init__(self, strategy_name):
StrategyBase.__init__(self, strategy_name)
# uses score chart to determine best response
self.score_chart = scorechart.from_file(
Config.get_instance().get(Config.SCORECHART_FILE)
)
def __init__(self, strategy_name):
StrategyBase.__init__(self, strategy_name)
# uses score chart to determine best response
self.score_chart = scorechart.from_file(
Config.get_instance().get(Config.SCORECHART_FILE),
self.bot_list
)
def __init__(self, strategy_name):
StrategyBase.__init__(self, strategy_name)
self.result_list = []
self.match_list = []
config = Config.get_instance()
# read score chart from a file
self.score_chart = scorechart.from_file(
config.get(Config.SCORECHART_FILE))
# get weights
self.regrets = config.get(Config.INITIAL_REGRETS)
def __init__(self, strategy_name):
StrategyBase.__init__(self, strategy_name)
self.result_list = []
self.match_list = []
config = Config.get_instance()
# read score chart from a file
self.score_chart = scorechart.from_file(
config.get(Config.SCORECHART_FILE)
)
# get weights
self.regrets = config.get(Config.INITIAL_REGRETS)