def METHOD_NAME():
    out = ["test"] >> nvt.ops.ListSlice(10, pad=True)
    workflow = nvt.Workflow(out)
    df = make_df({"test": [[x for x in numpy.asarray(range(1, 4)).astype(numpy.int32)]]})
    workflow.fit(nvt.Dataset(df, cpu=True))
    workflow.transform(nvt.Dataset(df, cpu=True)).compute()