def test_normalize_invalid_ratio():
"""Test invalid ratios."""
cases = [
1.1,
[1.1],
[0.8, 0.3],
[0.8, 0.1, 0.2],
]
for ratios in cases:
with pytest.raises(ValueError):
_ = normalize_ratios(ratios=ratios)
def test_normalize_ratios():
"""Test normalize_ratios."""
for ratios, exp_output in (
(0.5, (0.5, 0.5)),
((0.3, 0.2, 0.4), (0.3, 0.2, 0.4, 0.1)),
((0.3, 0.3, 0.4), (0.3, 0.3, 0.4)),
):
output = normalize_ratios(ratios=ratios)
# check type
assert isinstance(output, tuple)
assert all(isinstance(ratio, float) for ratio in output)
# check values
assert len(output) >= 2
assert all(0 <= ratio <= 1 for ratio in output)
output_np = numpy.asarray(output)
numpy.testing.assert_almost_equal(output_np.sum(), numpy.ones(1))
# compare against expected
numpy.testing.assert_almost_equal(output_np, numpy.asarray(exp_output))
def _get_ratios(*triples_factories: TriplesFactory) -> Sequence[float]:
total = sum(tf.num_triples for tf in triples_factories)
ratios = normalize_ratios(
[tf.num_triples / total for tf in triples_factories])
return ratios