def test_fetch_localizer_calculation_task():
local_url = "file://" + datadir
ids = np.asarray(['S%2d' % i for i in range(94)])
ids = ids.view(dtype=[('subject_id', 'S3')])
mock_fetch_files.add_csv('cubicwebexport.csv', ids)
mock_fetch_files.add_csv('cubicwebexport2.csv', ids)
# Disabled: cannot be tested without actually fetching covariates CSV file
# All subjects
dataset = func.fetch_localizer_calculation_task(data_dir=tmpdir,
url=local_url,
verbose=0)
assert_true(isinstance(dataset.ext_vars, np.recarray))
assert_true(isinstance(dataset.cmaps[0], _basestring))
assert_equal(dataset.ext_vars.size, 94)
assert_equal(len(dataset.cmaps), 94)
# 20 subjects
dataset = func.fetch_localizer_calculation_task(n_subjects=20,
data_dir=tmpdir,
url=local_url,
verbose=0)
assert_true(isinstance(dataset.ext_vars, np.recarray))
assert_true(isinstance(dataset.cmaps[0], _basestring))
assert_equal(dataset.ext_vars.size, 20)
assert_equal(len(dataset.cmaps), 20)
def test_fetch_localizer_calculation_task(tmp_path, request_mock):
# 2 subjects
dataset = func.fetch_localizer_calculation_task(n_subjects=2,
data_dir=str(tmp_path),
verbose=1)
assert isinstance(dataset.ext_vars, np.recarray)
assert isinstance(dataset.cmaps[0], _basestring)
assert dataset.ext_vars.size == 2
assert len(dataset.cmaps) == 2
assert dataset.description != ''
def test_fetch_localizer_calculation_task():
# 2 subjects
dataset = func.fetch_localizer_calculation_task(
n_subjects=2,
data_dir=tst.tmpdir,
verbose=1)
assert_true(isinstance(dataset.ext_vars, np.recarray))
assert_true(isinstance(dataset.cmaps[0], _basestring))
assert_equal(dataset.ext_vars.size, 2)
assert_equal(len(dataset.cmaps), 2)
assert_not_equal(dataset.description, '')
def test_fetch_localizer_calculation_task():
# All subjects
n_subjects = 2 # 94
dataset = func.fetch_localizer_calculation_task(data_dir=tst.tmpdir,
verbose=0)
assert_true(isinstance(dataset.ext_vars, np.recarray))
assert_true(isinstance(dataset.cmaps[0], _basestring))
assert_equal(dataset.ext_vars.size, 1)
assert_equal(len(dataset.cmaps), 1)
# 20 subjects
n_subjects = 1 # 20
dataset = func.fetch_localizer_calculation_task(n_subjects=n_subjects,
data_dir=tst.tmpdir,
verbose=0)
assert_true(isinstance(dataset.ext_vars, np.recarray))
assert_true(isinstance(dataset.cmaps[0], _basestring))
assert_equal(dataset.ext_vars.size, n_subjects)
assert_equal(len(dataset.cmaps), n_subjects)
assert_not_equal(dataset.description, '')
def test_fetch_localizer_calculation_task(tmp_path, request_mocker,
localizer_mocker):
# 2 subjects
dataset = func.fetch_localizer_calculation_task(n_subjects=2,
data_dir=tmp_path,
verbose=1,
legacy_format=False)
assert isinstance(dataset.ext_vars, pd.DataFrame)
assert isinstance(dataset.cmaps[0], str)
assert len(dataset['ext_vars']) == 2
assert len(dataset.cmaps) == 2
assert dataset.description != ''
dataset = func.fetch_localizer_calculation_task(n_subjects=2,
data_dir=tmp_path,
verbose=1,
legacy_format=True)
assert isinstance(dataset.ext_vars, np.recarray)
assert isinstance(dataset.cmaps[0], str)
assert dataset.ext_vars.size == 2
assert len(dataset.cmaps) == 2
assert dataset.description != ''
