def test_reduced_wong_wang(self): """ """ model = models.ReducedWongWang() history_shape = (1, model._nvar, 1, model.number_of_modes) model_ic = model.initial(dt, history_shape) self.assertEqual(model._nvar, 1)
def test_reduced_wong_wang(self): """ """ model = models.ReducedWongWang() history_shape = (1, model._nvar, 1, model.number_of_modes) model_ic = model.initial(dt, history_shape) self.assertEqual(model._nvar, 1) assert_array_almost_equal(model_ic, numpy.array([[[[0.49023095]]]]))
def test_wong_wang(self): """ """ model = models.ReducedWongWang() history_shape = (1, model._nvar, 1, model.number_of_modes) model_ic = model.initial(dt, history_shape) self.assertEqual(model._nvar, 1) self.assertTrue(ArrayAlmostEqual(model_ic, numpy.array([[[[ 0.78677805]]]])) is None)
def test_reduced_wong_wang(self): """ """ model = models.ReducedWongWang() self._validate_initialization(model, 1)
def test_ww(self): model = models.ReducedWongWang() self._validate_initialization(model, 1) model = models.ReducedWongWangExcInh() self._validate_initialization(model, 2)
def test_reduced_wong_wang(self): """ """ model = models.ReducedWongWang() self._validate_initialization(model, 1) self._test_steady_state(model, numpy.r_[0.452846])