def test_constructor(self):
# missing data arg
with pytest.raises(TypeError):
# noinspection PyArgumentList
UniqueIndex()
# data has wrong dimensions
data = [['A', 'C'], ['B', 'F']]
with pytest.raises(TypeError):
UniqueIndex(data)
# labels are not unique
data = ['A', 'B', 'D', 'B']
with pytest.raises(ValueError):
UniqueIndex(data)
# valid data
data = ['A', 'C', 'B', 'F']
lbl = UniqueIndex(data)
aeq(data, lbl)
assert 1 == lbl.ndim
assert 4 == len(lbl)
# valid data (typed)
data = np.array(['A', 'C', 'B', 'F'], dtype='S1')
lbl = UniqueIndex(data, dtype='S1')
aeq(data, lbl)
def test_slice(self):
data = ['A', 'C', 'B', 'F']
lbl = UniqueIndex(data)
# row slice
s = lbl[1:]
assert isinstance(s, UniqueIndex)
# index
s = lbl[0]
assert isinstance(s, str)
assert not isinstance(s, UniqueIndex)
def setup_instance(self, data):
return UniqueIndex(data)