def test_neurite_deepcopy():
d = _io.load_neuron(FILENAMES[0])
nrt = d.neurites[0]
nrt2 = deepcopy(nrt)
nt.assert_true(nrt is not nrt2)
_check_cloned_neurites(nrt, nrt2)
def test_neurite_deepcopy():
d = _io.load_neuron(FILENAMES[0])
nrt = d.neurites[0]
nrt2 = deepcopy(nrt)
nt.assert_true(nrt is not nrt2)
_check_cloned_neurites(nrt, nrt2)
def test_neuron_deepcopy():
d = _io.load_neuron(FILENAMES[0])
dc = deepcopy(d)
nt.assert_true(d is not dc)
nt.assert_true(d.soma is not dc.soma)
nt.assert_true(np.all(d.soma.points == dc.soma.points))
nt.assert_true(np.all(d.soma.center == dc.soma.center))
nt.assert_equal(d.soma.radius, dc.soma.radius)
for a, b in zip(d.neurites, dc.neurites):
_check_cloned_neurites(a, b)
def test_neuron_deepcopy():
d = _io.load_neuron(FILENAMES[0])
dc = deepcopy(d)
nt.assert_true(d is not dc)
nt.assert_true(d.soma is not dc.soma)
nt.assert_true(np.all(d.soma.points == dc.soma.points))
nt.assert_true(np.all(d.soma.center == dc.soma.center))
nt.assert_equal(d.soma.radius, dc.soma.radius)
for a, b in zip(d.neurites, dc.neurites):
_check_cloned_neurites(a, b)
def test_neuron3d_no_neurites():
filename = os.path.join(SWC_PATH, 'point_soma.swc')
f, a = view.neuron3d(io.load_neuron(filename))
from neurom.view import view
from neurom.point_neurite.treefunc import set_tree_type
import os
import numpy as np
import pylab as plt
from neurom.point_neurite.point_tree import PointTree
DATA_PATH = './test_data'
SWC_PATH = os.path.join(DATA_PATH, 'swc/')
pt_raw_data = pt_io.load_data(SWC_PATH + 'Neuron.swc')
pt_neuron = make_neuron(pt_raw_data, set_tree_type)
soma0 = pt_neuron.soma
fst_neuron = io.load_neuron(os.path.join(SWC_PATH, 'Neuron.swc'))
def test_tree():
axes = []
for tree in pt_neuron.neurites:
fig, ax = view.tree(tree)
axes.append(ax)
nt.ok_(axes[0].get_data_ratio() > 1.00 )
nt.ok_(axes[1].get_data_ratio() > 0.80 )
nt.ok_(axes[2].get_data_ratio() > 1.00 )
nt.ok_(axes[3].get_data_ratio() > 0.85 )
tree0 = pt_neuron.neurites[0]
fig, ax = view.tree(tree0, treecolor='black', diameter=False, alpha=1., linewidth=1.2)
c = ax.collections[0]
nt.ok_(c.get_linewidth()[0] == 1.2 )