code: def apply_to_operand(self, op: DataFrameIndex):
      super().apply_to_operand(op)
  
      node = op.outputs[0]
      opt_node = self._records.get_optimization_result(node, node)
      if not isinstance(opt_node.op, DataFrameEval):  # pragma: no cover
          return
  
      # when encountering consecutive SetItems, expressions can be
      # merged as a multiline expression
      pred_opt_node = opt_node.inputs[0]
      if (
          isinstance(pred_opt_node.op, DataFrameEval)
          and opt_node.op.parser == pred_opt_node.op.parser == "pandas"
          and not opt_node.op.is_query
          and not pred_opt_node.op.is_query
          and opt_node.op.self_target
          and pred_opt_node.op.self_target
      ):
          new_expr = pred_opt_node.op.expr + "\n" + opt_node.op.expr
          new_variables = (pred_opt_node.op.variables or dict()).copy()
          new_variables.update(opt_node.op.variables or dict())
  
          new_op = DataFrameEval(
              _key=op.key,
              _output_types=get_output_types(op.outputs[0]),
              expr=new_expr,
              variables=new_variables,
              parser="pandas",
              is_query=False,
              self_target=True,
          )
          new_node = new_op.new_tileable(
              pred_opt_node.inputs,
              _key=node.key,
              _id=node.id,
              **node.params,
          ).data
  
          self._add_collapsable_predecessor(opt_node, pred_opt_node)
          self._remove_collapsable_predecessors(opt_node)
          self._update_op_node(opt_node, new_node)
  
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 4 for calling the DataFrameEvalSetItemToEval obj's underlying member method code with example usage: obj.apply_to_operand(op) without return types