code: def _execute_shuffle_reduce(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)
      dropped = cls._drop_duplicates(
          inp,
          op,
          subset=[
              c
              for c in inp.columns
              if c not in ("_chunk_index_", "_i_")
          ],
          keep=op.keep,
          ignore_index=op.ignore_index,
      )
      for i in range(op.shuffle_size):
          filtered = dropped[dropped["_chunk_index_"] == i]
          del filtered["_chunk_index_"]
          ctx[out.key, (i,)] = filtered
  
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 12 for calling the DataFrameDropDuplicates obj's underlying member method code with example usage: obj._execute_shuffle_reduce(cls, ctx, op) without return types