How to use the xenonpy.datatools.Dataset function in xenonpy

def test_dataset_1(test_data):
    path = Path(__file__).parents[0]

    ds = Dataset()
    assert ds._backend == 'pandas'
    assert ds._paths == ('.',)
    assert ds._prefix == ()

    with pytest.warns(RuntimeWarning):
        Dataset(str(path), str(path))

    with pytest.raises(RuntimeError):
        Dataset('no_exist_dir')

    ds = Dataset(str(path), backend='pickle', prefix=('datatools',))
    assert hasattr(ds, 'datatools_test')
    tmp = '%s' % ds
    assert 'Dataset' in tmp

def test_dataset_1(test_data):
    path = Path(__file__).parents[0]

    ds = Dataset()
    assert ds._backend == 'pandas'
    assert ds._paths == ('.',)
    assert ds._prefix == ()

    with pytest.warns(RuntimeWarning):
        Dataset(str(path), str(path))

    with pytest.raises(RuntimeError):
        Dataset('no_exist_dir')

    ds = Dataset(str(path), backend='pickle', prefix=('datatools',))
    assert hasattr(ds, 'datatools_test')
    tmp = '%s' % ds
    assert 'Dataset' in tmp

def test_dataset_1(test_data):
    path = Path(__file__).parents[0]

    ds = Dataset()
    assert ds._backend == 'pandas'
    assert ds._paths == ('.',)
    assert ds._prefix == ()

    with pytest.warns(RuntimeWarning):
        Dataset(str(path), str(path))

    with pytest.raises(RuntimeError):
        Dataset('no_exist_dir')

    ds = Dataset(str(path), backend='pickle', prefix=('datatools',))
    assert hasattr(ds, 'datatools_test')
    tmp = '%s' % ds
    assert 'Dataset' in tmp

def test_dataset_1(test_data):
    path = Path(__file__).parents[0]

    ds = Dataset()
    assert ds._backend == 'pandas'
    assert ds._paths == ('.',)
    assert ds._prefix == ()

    with pytest.warns(RuntimeWarning):
        Dataset(str(path), str(path))

    with pytest.raises(RuntimeError):
        Dataset('no_exist_dir')

    ds = Dataset(str(path), backend='pickle', prefix=('datatools',))
    assert hasattr(ds, 'datatools_test')
    tmp = '%s' % ds
    assert 'Dataset' in tmp

def test_dataset_2(test_data):
    path = Path(__file__).parents[0]

    ds = Dataset(str(path), backend='pickle')
    assert hasattr(ds, 'test')

    tmp = ds.test
    assert isinstance(tmp, list)
    assert tmp == [[1, 2], [3, 4]]

    tmp = ds.csv
    assert hasattr(tmp, 'test')
    tmp = tmp.test
    assert isinstance(tmp, pd.DataFrame)
    assert np.all(np.array([[0, 1, 2], [1, 3, 4]]) == tmp.values)

    tmp = ds.csv(str(path / 'test.csv'))
    assert np.all(np.array([[0, 1, 2], [1, 3, 4]]) == tmp.values)

    tmp = ds.pandas