How to use the hickle.hickle.H5FileWrapper function in hickle

def _load(py_container, h_group):
    """ Load a hickle file

    Recursive funnction to load hdf5 data into a PyContainer()

    Args:
        py_container (PyContainer): Python container to load data into
        h_group (h5 group or dataset): h5py object, group or dataset, to spider
                and load all datasets.
    """

    group_dtype   = h5._hl.group.Group
    dataset_dtype = h5._hl.dataset.Dataset

    #either a file, group, or dataset
    if isinstance(h_group, (H5FileWrapper, group_dtype)):

        py_subcontainer = PyContainer()
        try:
            py_subcontainer.container_type = bytes(h_group.attrs['type'][0])
        except KeyError:
            raise
            #py_subcontainer.container_type = ''
        py_subcontainer.name = h_group.name

        if py_subcontainer.container_type == b'dict_item':
            py_subcontainer.key_type = h_group.attrs['key_type']

        if py_subcontainer.container_type not in types_not_to_sort:
            h_keys = sort_keys(h_group.keys())
        else:
            h_keys = h_group.keys()

elif isinstance(f, string_types):
        filename = f
        h5f = h5.File(filename, mode)
    elif isinstance(f, (H5FileWrapper, h5._hl.files.File)):
        try:
            filename = f.filename
        except ValueError:
            raise ClosedFileError
        h5f = f
        # Since this file was already open, do not close the file afterward
        close_flag = False
    else:
        print(f.__class__)
        raise FileError

    h5f.__class__ = H5FileWrapper
    h5f.track_times = track_times
    return(h5f, close_flag)

def create_dataset(self, *args, **kwargs):
        kwargs['track_times'] = getattr(self, 'track_times', True)
        return super(H5FileWrapper, self).create_dataset(*args, **kwargs)