code: def _tile_one_chunk(cls, op):
      in_series = op.inputs[0]
      out_series = op.outputs[0]
  
      index_op = SeriesIndex(labels=op.labels)
      kw = (
          {"name": out_series.name}
          if hasattr(out_series, "name")
          else {}
      )
      index_chunk = index_op.new_chunk(
          in_series.chunks, dtype=out_series.dtype, **kw
      )
      new_op = op.copy()
      nsplits = (
          ((len(op.labels),),) if isinstance(op.labels, list) else ()
      )
      return new_op.new_tileables(
          op.inputs,
          chunks=[index_chunk],
          nsplits=nsplits,
          dtype=out_series.dtype,
      )
  
imports: import itertools
  from numbers import Integral
  import pandas
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...serialization.serializables import AnyField, Int32Field, BoolField
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE
  from ...tensor.datasource import tensor
  from ...utils import has_unknown_shape
  from ..align import align_dataframe_series, align_dataframe_dataframe
  from ..core import SERIES_TYPE, SERIES_CHUNK_TYPE, DATAFRAME_TYPE, DATAFRAME_CHUNK_TYPE, is_chunk_meta_lazy
  from ..merge import DataFrameConcat
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, in_range_index
  from .utils import calc_columns_index
label_desc: Use image node_id 9 for calling the SeriesIndex obj's underlying member method code with example usage: obj._tile_one_chunk(cls, op) and returns: new_op