def _check_fold_timing_evaluations(  # noqa: PLR0913
        self,
        fold_evaluations: dict[str, dict[int, dict[int, float]]],
        num_repeats: int,
        num_folds: int,
        *,
        max_time_allowed: float = 60000.0,
        task_type: TaskType = TaskType.SUPERVISED_CLASSIFICATION,
        check_scores: bool = True,
    ) -> None:

    def list(  # noqa: PLR0913
        self,
        limit: int | None = None,
        offset: int | None = None,
        status: str | None = None,
        main_entity_type: str | None = None,
        uploader: list[int] | None = None,
        benchmark_suite: int | None = None,
    ) -> Any:

class StudiesAPI(ResourceAPI, ABC):
    @abstractmethod
    def list(  # noqa: PLR0913
        self,
        limit: int | None = None,
        offset: int | None = None,
        status: str | None = None,
        main_entity_type: str | None = None,
        uploader: list[int] | None = None,
        benchmark_suite: int | None = None,
    ) -> pd.DataFrame: ...

xml_string = response.text

        # Parse XML and convert to DataFrame
        study_dict = xmltodict.parse(xml_string, force_list=("oml:study",))

        # Minimalistic check if the XML is useful
        assert isinstance(study_dict["oml:study_list"]["oml:study"], list), type(
            study_dict["oml:study_list"],
        )
        assert (
            study_dict["oml:study_list"]["@xmlns:oml"] == "http://openml.org/openml"
        ), study_dict["oml:study_list"]["@xmlns:oml"]

        studies = {}
        for study_ in study_dict["oml:study_list"]["oml:study"]:
            # maps from xml name to a tuple of (dict name, casting fn)
            expected_fields = {
                "oml:id": ("id", int),
                "oml:alias": ("alias", str),
                "oml:main_entity_type": ("main_entity_type", str),
                "oml:benchmark_suite": ("benchmark_suite", int),
                "oml:name": ("name", str),
                "oml:status": ("status", str),
                "oml:creation_date": ("creation_date", str),
                "oml:creator": ("creator", int),
            }
            study_id = int(study_["oml:id"])
            current_study = {}
            for oml_field_name, (real_field_name, cast_fn) in expected_fields.items():
                if oml_field_name in study_:
                    current_study[real_field_name] = cast_fn(study_[oml_field_name])
            current_study["id"] = int(current_study["id"])
            studies[study_id] = current_study

        return pd.DataFrame.from_dict(studies, orient="index")