def test_combination_label():
"Test combination label creation"
labels = {l.name: l for l in
mne.read_labels_from_annot('fsaverage', subjects_dir=subjects_dir)}
# standard
l = combination_label('temporal', "superiortemporal + middletemporal + inferiortemporal",
labels, subjects_dir)
lh = labels['superiortemporal-lh'] + labels['middletemporal-lh'] + labels['inferiortemporal-lh']
lh.name = 'temporal-lh'
rh = labels['superiortemporal-rh'] + labels['middletemporal-rh'] + labels['inferiortemporal-rh']
rh.name = 'temporal-rh'
eq_(len(l), 2)
assert_labels_equal(l[0], lh)
assert_labels_equal(l[1], rh)
# only rh
l = combination_label('temporal-rh', "superiortemporal + middletemporal + inferiortemporal",
labels, subjects_dir)
eq_(len(l), 1)
eq_(l[0].name, 'temporal-rh')
assert_array_equal(l[0].vertices, rh.vertices)
# with split_label
l2 = combination_label('temporal-rh', "superiortemporal + middletemporal +"
"split(inferiortemporal, 2)[0] +"
"split(inferiortemporal, 2)[1]",
labels, subjects_dir)
assert_labels_equal(l2[0], l[0], comment=False, color=False)
# names with .
labels = {l.name: l for l in
mne.read_labels_from_annot('fsaverage', 'PALS_B12_Lobes', subjects_dir=subjects_dir)}
l = combination_label('frontal-lh', "LOBE.FRONTAL", labels, subjects_dir)[0]
assert_array_equal(l.vertices, labels['LOBE.FRONTAL-lh'].vertices)
def test_combination_label():
"Test combination label creation"
labels = {l.name: l for l in
mne.read_labels_from_annot('fsaverage', subjects_dir=subjects_dir)}
# standard
l = combination_label('temporal', "superiortemporal + middletemporal + inferiortemporal", labels)
lh = labels['superiortemporal-lh'] + labels['middletemporal-lh'] + labels['inferiortemporal-lh']
rh = labels['superiortemporal-rh'] + labels['middletemporal-rh'] + labels['inferiortemporal-rh']
eq_(len(l), 2)
eq_(l[0].name, 'temporal-lh')
eq_(l[1].name, 'temporal-rh')
assert_array_equal(l[0].vertices, lh.vertices)
assert_array_equal(l[1].vertices, rh.vertices)
# only rh
l = combination_label('temporal-rh', "superiortemporal + middletemporal + inferiortemporal", labels)
eq_(len(l), 1)
eq_(l[0].name, 'temporal-rh')
assert_array_equal(l[0].vertices, rh.vertices)
# names with .
labels = {l.name: l for l in
mne.read_labels_from_annot('fsaverage', 'PALS_B12_Brodmann', subjects_dir=subjects_dir)}
l = combination_label('Ba38-lh', "Brodmann.38", labels)[0]
assert_array_equal(l.vertices, labels['Brodmann.38-lh'].vertices)
def test_combination_label():
"Test combination label creation"
labels = {l.name: l for l in
mne.read_labels_from_annot('fsaverage', subjects_dir=subjects_dir)}
# standard
l = combination_label('temporal', "superiortemporal + middletemporal + inferiortemporal",
labels, subjects_dir)
lh = labels['superiortemporal-lh'] + labels['middletemporal-lh'] + labels['inferiortemporal-lh']
lh.name = 'temporal-lh'
rh = labels['superiortemporal-rh'] + labels['middletemporal-rh'] + labels['inferiortemporal-rh']
rh.name = 'temporal-rh'
eq_(len(l), 2)
assert_labels_equal(l[0], lh)
assert_labels_equal(l[1], rh)
# only rh
l = combination_label('temporal-rh', "superiortemporal + middletemporal + inferiortemporal",
labels, subjects_dir)
eq_(len(l), 1)
eq_(l[0].name, 'temporal-rh')
assert_array_equal(l[0].vertices, rh.vertices)
# with split_label
l2 = combination_label('temporal-rh', "superiortemporal + middletemporal +"
"split(inferiortemporal, 2)[0] +"
"split(inferiortemporal, 2)[1]",
labels, subjects_dir)
assert_labels_equal(l2[0], l[0], comment=False, color=False)
# names with .
labels = {l.name: l for l in
mne.read_labels_from_annot('fsaverage', 'PALS_B12_Lobes', subjects_dir=subjects_dir)}
l = combination_label('frontal-lh', "LOBE.FRONTAL", labels, subjects_dir)[0]
assert_array_equal(l.vertices, labels['LOBE.FRONTAL-lh'].vertices)
