docstr: From a Series of (possibly nested) lists, obtain the elements from
  the innermost lists as a flat Series (one value per row).
  
  Returns
  -------
  Series
  
  Examples
  --------
  >>> s = cudf.Series([[[1, None], [3, 4]], None, [[5, 6]]])
  >>> ds = dask_cudf.from_cudf(s, 2)
  >>> ds.list.leaves.compute()
  0       1
  1    <NA>
  2       3
  3       4
  4       5
  5       6
  dtype: int64
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code: def leaves(self):
      """
      From a Series of (possibly nested) lists, obtain the elements from
      the innermost lists as a flat Series (one value per row).
  
      Returns
      -------
      Series
  
      Examples
      --------
      >>> s = cudf.Series([[[1, None], [3, 4]], None, [[5, 6]]])
      >>> ds = dask_cudf.from_cudf(s, 2)
      >>> ds.list.leaves.compute()
      0       1
      1    <NA>
      2       3
      3       4
      4       5
      5       6
      dtype: int64
      """
      return self.d_series.map_partitions(
          lambda s: s.list.leaves, meta=self.d_series._meta
      )
  
file_path: cudf/python/dask_cudf/dask_cudf/accessors.py
label_desc: Use image node_id 5 for calling the ListMethods obj's underlying member method code with example usage: obj.leaves() and returns: self