code: def wrap_case_result(raw, expr):
      
      raw_1d = np.atleast_1d(raw)
      if np.any(pd.isnull(raw_1d)):
          result = pd.Series(raw_1d)
      else:
          result = pd.Series(
              raw_1d, dtype=constants.IBIS_TYPE_TO_PANDAS_TYPE[expr.type()]
          )
      if result.size == 1 and isinstance(expr, ir.ScalarExpr):
          return result.item()
      return result
docs: Wrap a CASE statement result in a Series and handle returning scalars.
  
      Parameters
      ----------
      raw : ndarray[T]
          The raw results of executing the ``CASE`` expression
      expr : ValueExpr
          The expression from the which `raw` was computed
  
      Returns
      -------
      Union[scalar, Series]