code: def _tile_one_chunk(cls, op):
      c = op.inputs[0].chunks[0]
      chunk_op = op.copy().reset_key()
      chunk_params = op.outputs[0].params.copy()
      chunk_params["index"] = c.index
      out_chunks = [chunk_op.new_chunk([c], **chunk_params)]
  
      new_op = op.copy()
      return new_op.new_tileables(
          op.inputs,
          nsplits=op.inputs[0].nsplits,
          chunks=out_chunks,
          **op.outputs[0].params.copy(),
      )
  
imports: import numpy
  import pandas
  from pandas.api.types import CategoricalDtype
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, StringField, ListField
  from ...tensor.base import sort
  from ...utils import pd_release_version
  from ..core import DATAFRAME_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, build_empty_series, parse_index
label_desc: Use image node_id 5 for calling the DataFrameAstype obj's underlying member method code with example usage: obj._tile_one_chunk(cls, op) and returns: new_op