code: def _process_out_chunks(cls, op, out_chunks):
      merge_op = TensorVineyardDataStoreMeta(
          vineyard_socket=op.vineyard_socket,
          sparse=op.sparse,
          dtype=np.dtype("O"),
      )
      return merge_op.new_chunks(
          out_chunks,
          shape=(1,),
          dtype=np.dtype("O"),
          index=(0,) * out_chunks[0].ndim,
      )
  
imports: from typing import Tuple
  import numpy
  from ...None import opcodes
  from ...core.operand.base import SchedulingHint
  from ...serialization.serializables import FieldTypes, KeyField, StringField, TupleField
  from ...storage.base import StorageLevel
  from ...utils import lazy_import
  from ..datasource import tensor
  from .core import TensorDataStore
label_desc: Use image node_id 2 for calling the TensorVineyardDataStoreChunk obj's underlying member method code with example usage: obj._process_out_chunks(cls, op, out_chunks) and returns: merge_op