def select():
spec = Collate(*Collate.from_log(path))
sel = Select(spec, float_keys=['cortex_density', 'retina_density'])
data = np.random.rand(9)
selection = (sel.retina_density > 3.0) & (sel.cortex_density > 5)
assert set(sel[selection].tid) == set([5, 8])
assert repr(sel.select(selection, data)) == repr(data[selection])
list_data = [None, 3, False, object, 3.4, '32', np.int64, unicode, lambda x: x]
list_selection = [True, True, False, True] + [False]*5
assert repr(sel.select(list_selection, list_data)) == repr([None, 3,object])
new_sel = Select(sel.tolist(selection), float_keys=['cortex_density', 'retina_density'])
return new_sel
