def it_stores_profile_info(self):
noise_model = MultimodalNormalNoise(1)
game = Factory.create_symmetric_game()
profile = game.knownProfiles()[0]
noise_model.generate_samples(game, profile, 1)
profile_info = noise_model.profile_info.get(profile, None)
assert profile_info != None
profile_info = profile_info.values()[0].values()[0]
assert profile_info.get("offset", None) != None
assert profile_info.get("stdev", None) != None
def it_does_not_overwrite_profile_info(self):
noise_model = MultimodalNormalNoise(1)
game = Factory.create_symmetric_game()
profile = game.knownProfiles()[0]
noise_model.generate_samples(game, profile, 1)
profile_info = noise_model.profile_info.get(profile, None)
noise_model.generate_samples(game, profile, 1)
profile_info2 = noise_model.profile_info.get(profile, None)
r = profile.keys()[0]
s = profile[r].keys()[0]
assert profile_info[r][s]["offset"] == profile_info2[r][s]["offset"]
assert profile_info[r][s]["stdev"] == profile_info2[r][s]["stdev"]
def it_returns_the_correct_number_of_samples(self):
noise_model = MultimodalNormalNoise(1)
game = Factory.create_symmetric_game()
profile = game.knownProfiles()[0]
samples = noise_model.generate_samples(game, profile, 5)
for role, strategy_hash in profile.items():
counters = {s: 0 for s in strategy_hash.keys()}
for payoff_data in samples[role]:
counters[payoff_data.strategy] += 1
assert payoff_data.count == strategy_hash[payoff_data.strategy]
assert len(payoff_data.value) == 5
for s in strategy_hash.keys():
assert counters[s] == 1