How to use the qcodes.dataset.sqlite.database.initialise_or_create_database_at function in qcodes

def load_dataset_from(path: str, run_id: int) -> 'DataSet':
    """
    Loads ``DataSet`` with the given ``run_id`` from a database file that
    is located in in the given ``path``.

    Note that after the call to this function, the database location in the
    qcodes config of the current python process is changed to ``path``.
    """
    initialise_or_create_database_at(path)
    return load_by_id(run_id=run_id)

def get_runs_from_db(path: str, start: int = 0,
                     stop: Union[None, int] = None,
                     get_structure: bool = False):
    """
    Get a db ``overview`` dictionary from the db located in ``path``. The
    ``overview`` dictionary maps ``DataSet.run_id``s to dataset information as
    returned by ``get_ds_info`` functions.

    `start` and `stop` refer to indices of the runs in the db that we want
    to have details on; if `stop` is None, we'll use runs until the end.

    If `get_structure` is True, include info on the run data structure
    in the return dict.
    """
    initialise_or_create_database_at(path)

    datasets = sorted(
        chain.from_iterable(exp.data_sets() for exp in experiments()),
        key=attrgetter('run_id')
    )

    # There is no need for checking whether ``stop`` is ``None`` because if
    # it is the following is simply equivalent to ``datasets[start:]``
    datasets = datasets[start:stop]

    overview = {ds.run_id: get_ds_info(ds, get_structure=get_structure)
                for ds in datasets}
    return overview

def load_dataset_from(path: str, run_id: int) -> 'DataSet':
    """
    Loads ``DataSet`` with the given ``run_id`` from a database file that
    is located in in the given ``path``.

    Note that after the call to this function, the database location in the
    qcodes config of the current python process is changed to ``path``.
    """
    initialise_or_create_database_at(path)
    return load_by_id(run_id=run_id)

def get_runs_from_db(path: str, start: int = 0,
                     stop: Union[None, int] = None,
                     get_structure: bool = False):
    """
    Get a db ``overview`` dictionary from the db located in ``path``. The
    ``overview`` dictionary maps ``DataSet.run_id``s to dataset information as
    returned by ``get_ds_info`` functions.

    `start` and `stop` refer to indices of the runs in the db that we want
    to have details on; if `stop` is None, we'll use runs until the end.

    If `get_structure` is True, include info on the run data structure
    in the return dict.
    """
    initialise_or_create_database_at(path)

    datasets = sorted(
        chain.from_iterable(exp.data_sets() for exp in experiments()),
        key=attrgetter('run_id')
    )

    # There is no need for checking whether ``stop`` is ``None`` because if
    # it is the following is simply equivalent to ``datasets[start:]``
    datasets = datasets[start:stop]

    overview = {ds.run_id: get_ds_info(ds, get_structure=get_structure)
                for ds in datasets}
    return overview