code: def _transform_leaves(self, func, *args, **kwargs) -> Self:
      # return a new list column with the same nested structure
      # as ``self``, but with the leaf column transformed
      # by applying ``func`` to it
  
      cc: List[ListColumn] = []
      c: ColumnBase = self
  
      while isinstance(c, ListColumn):
          cc.insert(0, c)
          c = c.children[1]
  
      lc = func(c, *args, **kwargs)
  
      # Rebuild the list column replacing just the leaf child
      for c in cc:
          o = c.children[0]
          lc = cudf.core.column.ListColumn(  # type: ignore
              size=c.size,
              dtype=cudf.ListDtype(lc.dtype),
              mask=c.mask,
              offset=c.offset,
              null_count=c.null_count,
              children=(o, lc),
          )
      return lc
  
imports: from __future__ import annotations
  from functools import cached_property
  from typing import List, Optional, Sequence, Tuple, Union
  import numpy
  import pyarrow
  from typing_extensions import Self
  import cudf
  from cudf._lib.copying import segmented_gather
  from cudf._lib.lists import concatenate_list_elements, concatenate_rows, contains_scalar, count_elements, distinct, extract_element_column, extract_element_scalar, index_of_column, index_of_scalar, sort_lists
  from cudf._lib.strings.convert.convert_lists import format_list_column
  from cudf._lib.types import size_type_dtype
  from cudf._typing import ColumnBinaryOperand, ColumnLike, Dtype, ScalarLike
  from cudf.api.types import _is_non_decimal_numeric_dtype, is_scalar
  from cudf.core.column import ColumnBase, as_column, column
  from cudf.core.column.methods import ColumnMethods, ParentType
  from cudf.core.dtypes import ListDtype
  from cudf.core.missing import NA
label_desc: Use image node_id 18 for calling the ListColumn obj's underlying member method code with example usage: obj._transform_leaves(func) and returns: lc