def METHOD_NAME(  # type: ignore
    scenario: Scenario,
    *,
    eta: int = 3,
    n_seeds: int = 1,
    instance_seed_order: str | None = "shuffle_once",
    max_incumbents: int = 10,
    incumbent_selection: str = "highest_observed_budget",
) -> Hyperband:
    """Returns a Hyperband intensifier instance. Budgets are supported.
    eta : int, defaults to 3
        Input that controls the proportion of configurations discarded in each round of Successive Halving.
    n_seeds : int, defaults to 1
        How many seeds to use for each instance.
    instance_seed_order : str, defaults to "shuffle_once"
        How to order the instance-seed pairs. Can be set to:
        * None: No shuffling at all and use the instance-seed order provided by the user.
        * "shuffle_once": Shuffle the instance-seed keys once and use the same order across all runs.
        * "shuffle": Shuffles the instance-seed keys for each bracket individually.
    incumbent_selection : str, defaults to "any_budget"
        How to select the incumbent when using budgets. Can be set to:
        * "any_budget": Incumbent is the best on any budget, i.e., the best performance regardless of budget.
        * "highest_observed_budget": Incumbent is the best in the highest budget run so far.
        refer to `runhistory.get_trials` for more details. Crucially, if true, then a
        for a given config-instance-seed, only the highest (so far executed) budget is used for
        comparison against the incumbent. Notice, that if the highest observed budget is smaller
        than the highest budget of the incumbent, the configuration will be queued again to
        be intensified again.
        * "highest_budget": Incumbent is selected only based on the absolute highest budget
        available only.
    max_incumbents : int, defaults to 10
        How many incumbents to keep track of in the case of multi-objective.
    """
    return Hyperband(
        scenario=scenario,
        eta=eta,
        n_seeds=n_seeds,
        instance_seed_order=instance_seed_order,
        max_incumbents=max_incumbents,
        incumbent_selection=incumbent_selection,
    )