How to use the pyts.__file__.split function in pyts

.. [1] H. A. Dau et al, "The UCR Time Series Archive".
           arXiv:1810.07758 [cs, stat], 2018.

    .. [2] A. Bagnall et al, "The UEA & UCR Time Series Classification
           Repository", www.timeseriesclassification.com.

    """  # noqa: E501
    if dataset not in ucr_dataset_list():
        raise ValueError(
            "{0} is not a valid name. The list of available names "
            "can be obtained with ``pyts.datasets.ucr_dataset_list()``"
            .format(dataset)
        )
    if data_home is None:
        import pyts
        home = '/'.join(pyts.__file__.split('/')[:-2]) + '/'
        relative_path = 'pyts/datasets/cached_datasets/UCR/'
        path = home + relative_path
    else:
        path = data_home
    if not os.path.exists(path):
        os.makedirs(path)

    correct_dataset = _correct_ucr_name_download(dataset)
    if use_cache and os.path.exists(path + correct_dataset):
        bunch = _load_ucr_dataset(correct_dataset, path=path)
    else:
        url = ("http://www.timeseriesclassification.com/Downloads/{0}.zip"
               .format(correct_dataset))
        filename = 'temp_{}'.format(correct_dataset)
        _ = urlretrieve(url, path + filename)
        zipfile.ZipFile(path + filename).extractall(path + correct_dataset)

classification archive, 2018". arXiv:1811.00075 [cs, stat],
           2018.

    .. [2] A. Bagnall et al, "The UEA & UCR Time Series Classification
           Repository", www.timeseriesclassification.com.

    """
    if dataset not in uea_dataset_list():
        raise ValueError(
            "{0} is not a valid name. The list of available names "
            "can be obtained with ``pyts.datasets.uea_dataset_list()``"
            .format(dataset)
        )
    if data_home is None:
        import pyts
        home = '/'.join(pyts.__file__.split('/')[:-2]) + '/'
        relative_path = 'pyts/datasets/cached_datasets/UEA/'
        path = home + relative_path
    else:
        path = data_home
    if not os.path.exists(path):
        os.makedirs(path)

    correct_dataset = _correct_uea_name_download(dataset)
    if use_cache and os.path.exists(path + correct_dataset):
        bunch = _load_uea_dataset(correct_dataset, path)
    else:
        url = ("http://www.timeseriesclassification.com/Downloads/{0}.zip"
               .format(correct_dataset))
        filename = 'temp_{}'.format(correct_dataset)
        _ = urlretrieve(url, path + filename)
        zipfile.ZipFile(path + filename).extractall(path + correct_dataset)