def test_simple_learning_rate_minimization(self):
        network = algorithms.GradientDescent(
            self.connection,
            step=self.first_step,
            epochs_step_minimizator=50,
            addons=[algorithms.SimpleStepMinimization]
        )
        network.train(xor_input_train, xor_target_train, epochs=100)
        self.assertAlmostEqual(
            network.variables.step.get_value(),
            asfloat(3 / self.first_step),
            places=5,
        )
dataset/ETHPy150Open itdxer/neupy/tests/algorithms/steps/test_simple_step_min.py/LearningRateUpdatesTestCase.test_simple_learning_rate_minimization/swapped operands of `/`