code: def _coerce_loc_index(divisions, o):
      """Transform values to be comparable against divisions
  
      This is particularly valuable to use with pandas datetimes
      """
      if divisions and isinstance(divisions[0], datetime):
          return pd.Timestamp(o)
      if divisions and isinstance(divisions[0], np.datetime64):
          return np.datetime64(o).astype(divisions[0].dtype)
      return o
  
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 3 for calling a global function with example usage: _coerce_loc_index(divisions, o) and returns: o, pd, np