def test_translate_fst_neurite_h5():
t = np.array([100.,100.,100.])
nrn = load_neuron(H5_NRN_PATH)
nrt_a = nrn.neurites[0]
nrt_b = gtr.translate(nrt_a, t)
_check_fst_neurite_translate(nrt_a, nrt_b, t)
def test_translate_fst_neuron_h5():
t = np.array([100., 100., 100.])
nrn = load_neuron(H5_NRN_PATH)
tnrn = gtr.translate(nrn, t)
_check_fst_nrn_translate(nrn, tnrn, t)
def test_translate_fst_neuron_h5():
t = np.array([100.,100.,100.])
nrn = load_neuron(H5_NRN_PATH)
tnrn = gtr.translate(nrn, t)
_check_fst_nrn_translate(nrn, tnrn, t)
def test_translate_fst_neurite_h5():
t = np.array([100.,100.,100.])
nrn = load_neuron(H5_NRN_PATH)
nrt_a = nrn.neurites[0]
nrt_b = gtr.translate(nrt_a, t)
_check_fst_neurite_translate(nrt_a, nrt_b, t)
def test_translate_tree():
t = np.array([-100., 0.1, -2.4445])
m = gtr.translate(TREE, t)
# subtract the values node by node and assert if the changed tree values
# minus the original result into the translation vector
_evaluate(TREE, m, lambda x, y : np.allclose([yi - xi for xi, yi in izip(x, y)], t))
def test_translate_bad_type_raises():
gtr.translate("hello", [1,2,3])
def test_translate_bad_type_raises():
with pytest.raises(NotImplementedError):
gtr.translate("hello", [1, 2, 3])
def test_translate_bad_type_raises():
gtr.translate("hello", [1,2,3])
def test_translate_dispatch():
t = np.array([1.,1.,1.])
nt.assert_true(isinstance(gtr.translate(NEURON, t), Neuron))
nt.assert_true(isinstance(gtr.translate(TREE, t), Tree))
