code: def execute(cls, ctx, op):
      if vineyard is None:
          raise RuntimeError("vineyard is not available")
  
      socket, needs_put = resolve_vineyard_socket(ctx, op)
      client = vineyard.connect(socket)
  
      # some op might be fused and executed twice on different workers
      if not needs_put:
          # might be fused
          try:  # pragma: no cover
              meta = ctx.get_chunks_meta([op.inputs[0].key])[0]
              df_id = vineyard.ObjectID(meta["object_ref"])
              if not client.exists(df_id):
                  needs_put = True
          except KeyError:
              needs_put = True
      if needs_put:
          df_id = client.put(
              ctx[op.inputs[0].key], partition_index=op.inputs[0].index
          )
      else:  # pragma: no cover
          meta = client.get_meta(df_id)
          new_meta = vineyard.ObjectMeta()
          for k, v in meta.items():
              if k not in ["id", "signature", "instance_id"]:
                  if isinstance(v, vineyard.ObjectMeta):
                      new_meta.add_member(k, v)
                  else:
                      new_meta[k] = v
          new_meta["partition_index_"] = vy_data_utils.to_json(
              op.inputs[0].index
          )
          df_id = client.create_metadata(new_meta).id
  
      client.persist(df_id)
      ctx[op.outputs[0].key] = pd.DataFrame({0: [df_id]})
  
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 5 for calling the DataFrameToVineyardChunk obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types