Function test_weighted_quantile_with_invalid_q

xarray/tests/test_weighted.py:345–355

(q)

@pytest.mark.parametrize("q", (-1, 1.1, (0.5, 1.1), ((0.2, 0.4), (0.6, 0.8))))
def test_weighted_quantile_with_invalid_q(q):
    da = DataArray([1, 1.9, 2.2, 3, 3.7, 4.1, 5])
    q = np.asarray(q)
    weights = xr.ones_like(da)

    if q.ndim <= 1:
        with pytest.raises(ValueError, match="q values must be between 0 and 1"):
            da.weighted(weights).quantile(q)
    else:
        with pytest.raises(ValueError, match="q must be a scalar or 1d"):
            da.weighted(weights).quantile(q)


@pytest.mark.parametrize(