def METHOD_NAME(
    space,
    num,
    seed=1,
    status=None,
    objective=None,
    params=None,
    exp_working_dir="/nothing",
):
    if params is None:
        params = {"f": space["f"].original_dimension.original_dimension.low}
    trials = space.sample(num, seed=seed)
    new_trials = []
    for trial in trials:
        if params:
            trial = trial.branch(params=params)
        trial = space.transform(space.reverse(trial))
        trial.experiment = 1
        trial.exp_working_dir = exp_working_dir
        if status:
            trial.status = status
        if status == "completed" and objective is not None:
            trial._results.append(
                Trial.Result(name="objective", type="objective", value=1)
            )
        new_trials.append(trial)
    return new_trials