def test_log_likelihood(self):
        X_1 = numpy.array([[1],[0]])
        parameters = dict(mu=0.0, rho=1.0)
        log_likelihood = self.component_class.log_likelihood(X_1, parameters)
        assert log_likelihood < 0.0 
        assert math.fabs(-2.3378770664093453-log_likelihood) < .00000001

        parameters = dict(mu=2.2, rho=12.1)
        log_likelihood = self.component_class.log_likelihood(X_1, parameters)
        assert 0.0 < log_likelihood 
        assert math.fabs(-37.338671613806667-log_likelihood) < .00000001
dataset/ETHPy150Open probcomp/crosscat/src/tests/unit_tests/test_continuous_component_model.py/TestContinuousComponentModelExtensions_static.test_log_likelihood/swapped operands of `<`