code: def _maybe_partial_time_string(index, indexer):
      """
      Convert indexer for partial string selection
      if data has DatetimeIndex/PeriodIndex
      """
      # do not pass dd.Index
      assert is_index_like(index)
  
      if not isinstance(index, (pd.DatetimeIndex, pd.PeriodIndex)):
          return indexer
  
      if isinstance(indexer, slice):
          if isinstance(indexer.start, str):
              start = index._maybe_cast_slice_bound(
                  indexer.start, "left"
              )
          else:
              start = indexer.start
  
          if isinstance(indexer.stop, str):
              stop = index._maybe_cast_slice_bound(
                  indexer.stop, "right"
              )
          else:
              stop = indexer.stop
          return slice(start, stop)
  
      elif isinstance(indexer, str):
          start = index._maybe_cast_slice_bound(indexer, "left")
          stop = index._maybe_cast_slice_bound(indexer, "right")
          return slice(min(start, stop), max(start, stop))
  
      return indexer
  
imports: from __future__ import annotations
  import bisect
  from collections import defaultdict
  from datetime import datetime
  import numpy
  import pandas
  from pandas.api.types import is_bool_dtype
  from dask.array.core import Array
  from dask.base import tokenize
  from dask.dataframe import methods
  from dask.dataframe._compat import IndexingError
  from dask.dataframe.core import Series, new_dd_object
  from dask.dataframe.utils import is_index_like, is_series_like, meta_nonempty
  from dask.highlevelgraph import HighLevelGraph
  from dask.utils import is_arraylike
label_desc: Use image node_id 4 for calling a global function with example usage: _maybe_partial_time_string(index, indexer) and returns: indexer, indexer, slice, slice