Method test_drop_sel

xarray/tests/test_units.py:3405–3429

(self, raw_values, unit, error, dtype)

        ),
    )
    def test_drop_sel(self, raw_values, unit, error, dtype):
        array = np.linspace(5, 10, 20).astype(dtype) * unit_registry.m
        x = np.arange(len(array)) * unit_registry.m
        data_array = xr.DataArray(data=array, coords={"x": x}, dims="x")

        values = raw_values * unit

        if error is not None and not (
            isinstance(raw_values, int | float) and x.check(unit)
        ):
            with pytest.raises(error):
                data_array.drop_sel(x=values)

            return

        expected = attach_units(
            strip_units(data_array).drop_sel(
                x=strip_units(convert_units(values, {None: x.units}))
            ),
            extract_units(data_array),
        )
        actual = data_array.drop_sel(x=values)

        assert_units_equal(expected, actual)
        assert_identical(expected, actual)

    @pytest.mark.parametrize("dim", ("x", "y", "z", "t", "all"))
    @pytest.mark.parametrize(