How to use the rioxarray.rioxarray.affine_to_coords function in rioxarray

coords = _load_netcdf_1d_coords(riods.tags())
    _parse_driver_tags(riods=riods, attrs=attrs, coords=coords)
    for coord in coords:
        if f"NETCDF_DIM_{coord}" in attrs:
            coord_name = coord
            attrs.pop(f"NETCDF_DIM_{coord}")
            break
    else:
        coord_name = "band"
        coords[coord_name] = np.asarray(riods.indexes)

    # Get geospatial coordinates
    transform = _rio_transform(riods)
    if parse_coordinates and transform.is_rectilinear:
        # 1d coordinates
        coords.update(affine_to_coords(riods.transform, riods.width, riods.height))
    elif parse_coordinates:
        # 2d coordinates
        warnings.warn(
            "The file coordinates' transformation isn't "
            "rectilinear: xarray won't parse the coordinates "
            "in this case. Set `parse_coordinates=False` to "
            "suppress this warning.",
            RuntimeWarning,
            stacklevel=3,
        )

    unsigned = False
    encoding = {}
    if mask_and_scale and "_Unsigned" in attrs:
        unsigned = variables.pop_to(attrs, encoding, "_Unsigned") == "true"