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])
