def it_can_be_converted_to_asymmetric(self):
game = create_symmetric_game()
asym_game = game.to_asymmetric_game()
assert asym_game.roles == ["p" + str(i) for i in range(sum([c for c in game.players.values()]))]
for role in asym_game.roles:
assert asym_game.strategies[role] == game.strategies["All"]
assert asym_game.getPayoffData(Profile({"p0": {"C": 1}, "p1": {"D": 1}}), "p0", "C") == game.getPayoffData(
Profile({"All": {"C": 1, "D": 1}}), "All", "C"
)
assert asym_game.getPayoffData(Profile({"p0": {"C": 1}, "p1": {"D": 1}}), "p0", "C") == asym_game.getPayoffData(
Profile({"p0": {"D": 1}, "p1": {"C": 1}}), "p1", "C"
)
def it_requests_sampling_when_given_an_empty_observation_matrix(self):
matrix = ObservationMatrix()
evaluator = ConfidenceIntervalEvaluator(create_symmetric_game(), [], 0.5, 0.95, None)
assert evaluator.continue_sampling(matrix) == True
