def test_rename(collection):
dense_rt = collection.variables['RT'].to_dense(10)
assert len(dense_rt.values) == 230400
transform.Rename(collection, 'RT', output='reaction_time')
assert 'reaction_time' in collection.variables
assert 'RT' not in collection.variables
col = collection.variables['reaction_time']
assert col.name == 'reaction_time'
assert col.onset.max() == 476
def test_rename(collection):
dense_rt = collection.variables['RT'].to_dense(collection.sampling_rate)
assert len(dense_rt.values) == math.ceil(len(SUBJECTS) * NRUNS * SCAN_LENGTH * collection.sampling_rate)
transform.Rename(collection, 'RT', output='reaction_time')
assert 'reaction_time' in collection.variables
assert 'RT' not in collection.variables
col = collection.variables['reaction_time']
assert col.name == 'reaction_time'
assert col.onset.max() == 476
def test_group(collection):
coll = collection.clone()
with pytest.raises(ValueError):
# Can't use an existing variable name as the group name
transform.Group(coll, ['gain', 'loss'], name='gain')
transform.Group(coll, ['gain', 'loss'], name='outcome_vars')
assert coll.groups == {'outcome_vars': ['gain', 'loss']}
# Checks that variable groups are replaced properly
transform.Rename(coll, ['outcome_vars'],
output=['gain_renamed', 'loss_renamed'])
assert 'gain_renamed' in coll.variables
assert 'loss_renamed' in coll.variables
assert 'gain' not in coll.variables
assert 'loss' not in coll.variables