def test_has_no_fat_ends(): _, nrn = _load_neuron('fat_end.swc') nt.ok_(not nrn_chk.has_no_fat_ends(nrn).status) # if we only use point, there isn't a 'fat end' # since if the last point is 'x': x < 2*mean([x]) nt.ok_(nrn_chk.has_no_fat_ends(nrn, final_point_count=1).status) # if the multiple of the mean is large, the end won't be fat nt.ok_(nrn_chk.has_no_fat_ends(nrn, multiple_of_mean=10).status) _, nrn = _load_neuron('Single_basal.swc') nt.ok_(nrn_chk.has_no_fat_ends(nrn).status)
def test_has_no_fat_ends(): _, nrn = _load_neuron('fat_end.swc') nt.ok_(not nrn_chk.has_no_fat_ends(nrn).status) # if we only use point, there isn't a 'fat end' # since if the last point is 'x': x < 2*mean([x]) nt.ok_(nrn_chk.has_no_fat_ends(nrn, final_point_count=1).status) # if the multiple of the mean is large, the end won't be fat nt.ok_(nrn_chk.has_no_fat_ends(nrn, multiple_of_mean=10).status) _, nrn = _load_neuron('Single_basal.swc') nt.ok_(nrn_chk.has_no_fat_ends(nrn).status)
def time_has_no_fat_ends(self): nc.has_no_fat_ends(self.neuron, multiple_of_mean=2.0, final_point_count=5)
def time_has_no_fat_ends(self): nc.has_no_fat_ends(self.neuron, multiple_of_mean=2.0, final_point_count=5)