def test_get_local_bifurcation_angles(self):
ref_local_bifangles = []
for t in self.neuron.neurites:
ref_local_bifangles.extend(a for a in i_local_bifurcation_angle(t))
local_bifangles = self.neuron.get_local_bifurcation_angles()
nt.assert_equal(len(local_bifangles), 40)
nt.assert_true(np.all(local_bifangles == ref_local_bifangles))
local_bifangles = self.neuron.get_local_bifurcation_angles(TreeType.all)
nt.assert_equal(len(local_bifangles), 40)
nt.assert_true(np.all(local_bifangles == ref_local_bifangles))
def test_get_local_bifurcation_angles(self):
ref_local_bifangles = []
for t in self.neuron.neurites:
ref_local_bifangles.extend(a for a in i_local_bifurcation_angle(t))
local_bifangles = self.neuron.get_local_bifurcation_angles()
nt.assert_equal(len(local_bifangles), 40)
nt.assert_true(np.all(local_bifangles == ref_local_bifangles))
local_bifangles = self.neuron.get_local_bifurcation_angles(
TreeType.all)
nt.assert_equal(len(local_bifangles), 40)
nt.assert_true(np.all(local_bifangles == ref_local_bifangles))
def test_i_local_bifurcation_angles():
T = BRANCHING_TREE
ref = (0.25, 0.5, 0.25) # ref angles in pi radians
for i, b in enumerate(i_local_bifurcation_angle(T)):
nt.assert_almost_equal(b / math.pi, ref[i])
