def test_fail_fetch_harvard_oxford():
# specify non-existing atlas item
assert_raises_regex(ValueError, 'Invalid atlas name',
datasets.fetch_harvard_oxford, 'not_inside')
# specify existing atlas item
target_atlas = 'cort-maxprob-thr0-1mm'
target_atlas_fname = 'HarvardOxford-' + target_atlas + '.nii.gz'
HO_dir = os.path.join(get_tmpdir(), 'harvard_oxford')
os.mkdir(HO_dir)
nifti_dir = os.path.join(HO_dir, 'HarvardOxford')
os.mkdir(nifti_dir)
target_atlas_nii = os.path.join(nifti_dir, target_atlas_fname)
datasets.load_mni152_template().to_filename(target_atlas_nii)
dummy = open(os.path.join(HO_dir, 'HarvardOxford-Cortical.xml'), 'w')
dummy.write("<?xml version='1.0' encoding='us-ascii'?> "
"<metadata>"
"</metadata>")
dummy.close()
out_nii, arr = datasets.fetch_harvard_oxford(target_atlas, data_dir=get_tmpdir())
assert_true(isinstance(nibabel.load(out_nii), nibabel.Nifti1Image))
assert_true(isinstance(arr, np.ndarray))
assert_true(len(arr) > 0)
def test_load_mni152_template():
# All subjects
template_nii = datasets.load_mni152_template()
assert_equal(template_nii.shape, (91, 109, 91))
assert_equal(template_nii.get_header().get_zooms(), (2.0, 2.0, 2.0))
