code: def _execute_shuffle_put_back(
      cls, ctx, op: "DataFrameDropDuplicates"
  ):
      out = op.outputs[0]
      inputs = list(op.iter_mapper_data(ctx))
  
      xdf = cls._get_xdf(inputs[0])
      inp = xdf.concat(inputs)
      inp.sort_values("_i_", inplace=True)
      del inp["_i_"]
  
      if out.op.output_types[0] == OutputType.index:
          assert inp.shape[1] == 1
          ret = xdf.Index(inp.iloc[:, 0])
      elif out.op.output_types[0] == OutputType.series:
          assert inp.shape[1] == 1
          ret = inp.iloc[:, 0]
          ret.name = out.name
      else:
          ret = inp
  
      if op.ignore_index:
          ret.reset_index(drop=True, inplace=True)
      ctx[out.key] = ret
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core.operand import OperandStage
  from ...serialization.serializables import BoolField
  from ...utils import lazy_import, calc_nsplits
  from ..operands import OutputType
  from ..utils import parse_index, hash_dataframe_on, gen_unknown_index_value, standardize_range_index
  from ._duplicate import DuplicateOperand, validate_subset
label_desc: Use image node_id 13 for calling the DataFrameDropDuplicates obj's underlying member method code with example usage: obj._execute_shuffle_put_back(cls, ctx, op) without return types