def test_segment_radial_distances_origin():
origin = (-100, -200, -300)
ref_segs = []
ref_segs2 = []
for t in NEURON.neurites:
ref_segs.extend(ll for ll in iter_neurites(t, seg.radial_dist(t.value)))
ref_segs2.extend(ll for ll in iter_neurites(t, seg.radial_dist(origin)))
rad_dists = get_feat('segment_radial_distances', NEURON)
rad_dists2 = get_feat('segment_radial_distances', NEURON, origin=origin)
nt.assert_true(np.all(rad_dists == ref_segs))
nt.assert_true(np.all(rad_dists2 == ref_segs2))
nt.assert_true(np.all(rad_dists2 != ref_segs))
def test_segment_radial_distances():
ref_segs = []
for t in NEURON.neurites:
ref_segs.extend(ll for ll in iter_neurites(t, seg.radial_dist(t.value)))
rad_dists = get_feat('segment_radial_distances', NEURON)
nt.assert_true(np.all(rad_dists == ref_segs))
def _check_segment_radial_dists(obj):
origin = [0.0, 0.0, 0.0]
rd = [d for d in iter_neurites(SIMPLE_NEURON, seg.radial_dist(origin))]
nt.eq_(rd, [1.0, 3.0, 5.0, 7.0, 1.0, 3.0, 5.0, 7.0])
