code: def execute(cls, ctx, op):
      if vineyard is None:
          raise RuntimeError("vineyard is not available")
  
      socket, _ = resolve_vineyard_socket(ctx, op)
      client = vineyard.connect(socket)
  
      # # store the result object id to execution context
      chunks = [ctx[chunk.key][0][0] for chunk in op.inputs]
      ctx[op.outputs[0].key] = pd.DataFrame(
          {0: [vy_data_df.make_global_dataframe(client, chunks).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 3 for calling the DataFrameToVinyardStoreMeta obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types