code: def _process_out_chunks(cls, op, out_chunks):
      dtypes = pd.Series([np.dtype("O")], index=pd.Index([0]))
      merge_op = DataFrameToVinyardStoreMeta(
          vineyard_socket=op.vineyard_socket,
          chunk_shape=op.inputs[0].chunk_shape,
          shape=(1, 1),
          dtypes=dtypes,
      )
      return merge_op.new_chunks(
          out_chunks, shape=(1, 1), dtypes=dtypes, index=(0, 0)
      )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...serialization.serializables import FieldTypes, StringField, TupleField
  from ...tensor.datastore.to_vineyard import resolve_vineyard_socket
  from ...utils import lazy_import
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
label_desc: Use image node_id 3 for calling the DataFrameToVineyardChunk obj's underlying member method code with example usage: obj._process_out_chunks(cls, op, out_chunks) and returns: merge_op