def test_fetch_surf_nki_enhanced(data_dir=tst.tmpdir, verbose=0):
ids = np.asarray([
'A00028185', 'A00035827', 'A00037511', 'A00039431', 'A00033747',
'A00035840', 'A00038998', 'A00035072', 'A00037112', 'A00039391'
],
dtype='U9')
age = np.ones(len(ids), dtype='<f8')
hand = np.asarray(len(ids) * ['x'], dtype='U1')
sex = np.asarray(len(ids) * ['x'], dtype='U1')
csv = np.rec.array([ids, age, hand, sex],
dtype=[('id', '|U19'), ('age', '<f8'), ('hand', 'U1'),
('sex', 'U1')])
tst.mock_fetch_files.add_csv('NKI_enhanced_surface_phenotypics.csv', csv)
local_url = 'file://' + os.path.join(tst.datadir)
nki_data = func.fetch_surf_nki_enhanced(data_dir=tst.tmpdir, url=local_url)
assert_not_equal(nki_data.description, '')
assert_equal(len(nki_data.func_left), 10)
assert_equal(len(nki_data.func_right), 10)
assert_true(isinstance(nki_data.phenotypic, np.ndarray))
assert_equal(nki_data.phenotypic.shape, (10, ))
assert_not_equal(nki_data.description, '')
def test_fetch_surf_nki_enhanced(tmp_path, request_mocker, verbose=0):
ids = np.asarray(['A00028185', 'A00035827', 'A00037511', 'A00039431',
'A00033747', 'A00035840', 'A00038998', 'A00035072',
'A00037112', 'A00039391'], dtype='U9')
age = np.ones(len(ids), dtype='<f8')
hand = np.asarray(len(ids) * ['x'], dtype='U1')
sex = np.asarray(len(ids) * ['x'], dtype='U1')
pheno_data = pd.DataFrame(
OrderedDict([("id", ids), ("age", age), ("hand", hand), ("sex", sex)])
)
request_mocker.url_mapping[
"*pheno_nki_nilearn.csv"] = pheno_data.to_csv(index=False)
nki_data = func.fetch_surf_nki_enhanced(data_dir=str(tmp_path))
assert nki_data.description != ''
assert len(nki_data.func_left) == 10
assert len(nki_data.func_right) == 10
assert isinstance(nki_data.phenotypic, np.ndarray)
assert nki_data.phenotypic.shape == (10,)
assert nki_data.description != ''
def test_fetch_surf_nki_enhanced(data_dir=tst.tmpdir, verbose=0):
ids = np.asarray(['A00028185', 'A00035827', 'A00037511', 'A00039431',
'A00033747', 'A00035840', 'A00038998', 'A00035072',
'A00037112', 'A00039391'], dtype='U9')
age = np.ones(len(ids), dtype='<f8')
hand = np.asarray(len(ids) * ['x'], dtype='U1')
sex = np.asarray(len(ids) * ['x'], dtype='U1')
csv = np.rec.array([ids, age, hand, sex],
dtype=[('id', '|U19'), ('age', '<f8'),
('hand', 'U1'), ('sex', 'U1')])
tst.mock_fetch_files.add_csv('NKI_enhanced_surface_phenotypics.csv', csv)
local_url = 'file://' + os.path.join(tst.datadir)
nki_data = func.fetch_surf_nki_enhanced(data_dir=tst.tmpdir, url=local_url)
assert_not_equal(nki_data.description, '')
assert_equal(len(nki_data.func_left), 10)
assert_equal(len(nki_data.func_right), 10)
assert_true(isinstance(nki_data.phenotypic, np.ndarray))
assert_equal(nki_data.phenotypic.shape, (10,))
assert_not_equal(nki_data.description, '')