def it_provides_the_default_repr_when_enhanced_repr_fails(
self, dimension_types_prop_):
dimension_types_prop_.return_value = [1, 2, 3]
cube = Cube(None)
cube_repr = cube.__repr__()
assert cube_repr.startswith("<cr.cube.cube.Cube object at 0x")
def it_provides_values_for_cat_x_cat(self):
cube = Cube(CR.CAT_X_CAT)
assert cube.__repr__(
) == "Cube(name='v4', dimension_types='CAT x CAT')"
assert cube.counts == pytest.approx(np.array([[5, 2], [5, 3]]))
assert cube.counts_with_missings == pytest.approx(
np.array([[5, 3, 2, 0], [5, 2, 3, 0], [0, 0, 0, 0]]))
assert cube.cube_index == 0
assert cube.description == "Pet Owners"
assert cube.dimension_types == (DT.CAT, DT.CAT)
assert isinstance(cube.dimensions, _ApparentDimensions)
assert cube.has_weighted_counts is False
assert cube.missing == 5
assert cube.name == "v4"
assert cube.ndim == 2
assert cube.population_fraction == 1.0
assert cube.title == "Pony Owners"
assert cube.unweighted_counts == pytest.approx(
np.array([[5, 2], [5, 3]]))
assert cube.weighted_counts is None