code: def _is_select_dataframe_column(tileable) -> bool:
      if not isinstance(tileable, md.Series) or not isinstance(
          tileable.op, DataFrameIndex
      ):
          return False
  
      input_df = tileable.inputs[0]
      index_op: DataFrameIndex = tileable.op
      if (
          not isinstance(input_df, md.DataFrame)
          or input_df.dtypes is None
          or not input_df.dtypes.index.is_unique
          or any(not isinstance(v, str) for v in input_df.dtypes.keys())
      ):
          return False
  
      return (
          isinstance(input_df, md.DataFrame)
          and input_df.dtypes is not None
          and index_op.col_names is not None
          and index_op.col_names in input_df.dtypes
          and index_op.mask is None
      )
  
imports: import weakref
  from typing import NamedTuple, Optional
  import numpy
  from pandas.api.types import is_scalar
  from ....None import dataframe
  from ....core import Tileable, get_output_types, ENTITY_TYPE
  from ....dataframe.arithmetic.core import DataFrameUnaryUfunc, DataFrameBinopUfunc
  from ....dataframe.base.eval import DataFrameEval
  from ....dataframe.indexing.getitem import DataFrameIndex
  from ....dataframe.indexing.setitem import DataFrameSetitem
  from ....typing import OperandType
  from ....utils import implements
  from ..core import OptimizationRecord, OptimizationRecordType
  from ..tileable.core import register_operand_based_optimization_rule
  from .core import OperandBasedOptimizationRule
label_desc: Use image node_id 3 for calling the SeriesArithmeticToEval obj's underlying member method code with example usage: obj._is_select_dataframe_column(tileable) and returns: unknown, False, False