code: def execute(cls, ctx, op):
      try:
          pd.set_option("mode.use_inf_as_na", op.use_inf_as_na)
          if op.stage == OperandStage.map:
              cls._execute_map(ctx, op)
          elif op.stage == OperandStage.combine:
              cls._execute_combine(ctx, op)
          else:
              input_data = ctx[op.inputs[0].key]
              value = getattr(op, "value", None)
              if isinstance(op.value, ENTITY_TYPE):
                  value = ctx[op.value.key]
              if not isinstance(input_data, pd.Index):
                  ctx[op.outputs[0].key] = input_data.fillna(
                      value=value,
                      method=op.method,
                      axis=op.axis,
                      limit=op.limit,
                      downcast=op.downcast,
                  )
              else:
                  ctx[op.outputs[0].key] = input_data.fillna(
                      value=value, downcast=op.downcast
                  )
      finally:
          pd.reset_option("mode.use_inf_as_na")
  
imports: import itertools
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core import ENTITY_TYPE, Entity, OutputType, get_output_types
  from ...core.operand import OperandStage
  from ...serialization.serializables import StringField, AnyField, BoolField, Int64Field
  from ..align import align_dataframe_dataframe, align_dataframe_series, align_series_series
  from ..core import DATAFRAME_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..utils import validate_axis
label_desc: Use image node_id 13 for calling the FillNA obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types