def METHOD_NAME(market: Dataset, comm_usage: Sequence[CommodityUsage]) -> Dataset:
    """Creates a likely return market from a sector."""
    from numpy.random import randint
    from xarray import DataArray
    from muse.commodities import is_consumable, is_enduse, is_other
    shape = (
        len(market.year),
        len(market.commodity),
        len(market.region),
        len(market.timeslice),
    )
    single = DataArray(
        randint(0, 5, shape) / randint(1, 5, shape),
        dims=("year", "commodity", "region", "timeslice"),
        coords={
            "year": market.year,
            "commodity": market.commodity,
            "comm_usage": ("commodity", comm_usage),
            "region": market.region,
            "timeslice": market.timeslice,
        },
    )
    single = single.where(~is_other(single.comm_usage), 0)
    return Dataset(
        {
            "supply": single.where(is_enduse(single.comm_usage), 0),
            "consumption": single.where(is_consumable(single.comm_usage), 0),
            "prices": single,
        }
    )