code: def maybe_upcast_for_op(obj):
      
      if type(obj) is datetime.timedelta:
          # GH#22390  cast up to Timedelta to rely on Timedelta
          # implementation; otherwise operation against numeric-dtype
          # raises TypeError
          return pd.Timedelta(obj)
      elif isinstance(obj, np.timedelta64) and not isna(obj):
          # In particular non-nanosecond timedelta64 needs to be cast to
          #  nanoseconds, or else we get undesired behavior like
          #  np.timedelta64(3, 'D') / 2 == np.timedelta64(1, 'D')
          # The isna check is to avoid casting timedelta64("NaT"), which would
          #  return NaT and incorrectly be treated as a datetime-NaT.
          return pd.Timedelta(obj)
      elif isinstance(obj, np.ndarray) and is_timedelta64_dtype(obj):
          # GH#22390 Unfortunately we need to special-case right-hand
          # timedelta64 dtypes because numpy casts integer dtypes to
          # timedelta64 when operating with timedelta64
          return pd.TimedeltaIndex(obj)
      return obj
docs: Cast non-pandas objects to pandas types to unify behavior of arithmetic
      and comparison operations.
  
      Parameters
      ----------
      obj: object
  
      Returns
      -------
      out : object
  
      Notes
      -----
      Be careful to call this *after* determining the `name` attribute to be
      attached to the result of the arithmetic operation.