def test_sj2d(self):
"""
"""
model = models.ReducedSetFitzHughNagumo()
history_shape = (1, model._nvar, 1, model.number_of_modes)
model_ic = model.initial(dt, history_shape)
self.assertEqual(model._nvar, 4)
self.assertEqual(model.number_of_modes, 3)
def test_sj2d(self):
"""
"""
model = models.ReducedSetFitzHughNagumo()
self._validate_initialization(model, 4, 3)
fp = numpy.array([[-1.228146, 0.677939, 1.541479],
[-0.953419, 0.384293, 0.907564],
[-1.346946, -0.351683, 1.762915],
[-1.03536, -0.293471, 0.536003]])
self._test_steady_state(model, fp)
def test_sj2d(self):
"""
"""
model = models.ReducedSetFitzHughNagumo()
history_shape = (1, model._nvar, 1, model.number_of_modes)
model_ic = model.initial(dt, history_shape)
self.assertEqual(model._nvar, 4)
self.assertEqual(model.number_of_modes, 3)
self.assertTrue(ArrayAlmostEqual(model_ic, numpy.array([[[[ 0.81113082, 0.22578466, 1.05767095]],
[[ 2.15388948, 0.33114288, 0.33111966]],
[[ 2.57884373, 1.25321566, 0.76664846]],
[[ 0.76729577, 0.65537159, 0.65864133]]]])) is None)
def test_sj2d(self):
"""
"""
model = models.ReducedSetFitzHughNagumo()
history_shape = (1, model._nvar, 1, model.number_of_modes)
model_ic = model.initial(dt, history_shape)
self.assertEqual(model._nvar, 4)
self.assertEqual(model.number_of_modes, 3)
assert_array_almost_equal(
model_ic,
numpy.array([[[[-0.02763104, 0.14269546, 0.0534609]],
[[-0.02392918, 0.12357789, 0.0462985]],
[[-0.02763104, 0.14269546, 0.0534609]],
[[-0.02392918, 0.12357789, 0.0462985]]]]))
def test_sj2d(self):
"""
"""
model = models.ReducedSetFitzHughNagumo()
self._validate_initialization(model, 4, 3)
