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] for chunk in op.inputs]
      holder = np.empty((1,), dtype=object)
      holder[0] = vy_data_tensor.make_global_tensor(client, chunks).id
      ctx[op.outputs[0].key] = holder
  
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 3 for calling the TensorVineyardDataStoreMeta obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types