code: def tile(cls, op):
      ctx = get_context()
      workers = ctx.get_worker_addresses()
  
      out_chunks = []
      dtypes = pd.Series(
          [np.dtype("O")] * len(cls.generated_columns),
          index=cls.generated_columns,
      )
      for index, worker in enumerate(workers):
          chunk_op = op.copy().reset_key()
          chunk_op.expect_worker = worker
          chunk_op.operator_index = index
          out_chunk = chunk_op.new_chunk(
              [],
              dtypes=dtypes,
              shape=(1, len(cls.generated_columns)),
              index=(index, 0),
              index_value=parse_index(pd.RangeIndex(0, 1)),
              columns_value=parse_index(
                  pd.Index(cls.generated_columns)
              ),
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy().reset_key()
      return new_op.new_dataframes(
          op.inputs,
          shape=(np.nan, np.nan),
          dtypes=dtypes,
          chunks=out_chunks,
          nsplits=((np.nan,), (np.nan,)),
          # use the same value as `read_csv`
          index_value=parse_index(pd.RangeIndex(0, 1)),
          columns_value=parse_index(pd.Index(cls.generated_columns)),
      )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...core.context import get_context
  from ...serialization.serializables import Int32Field, StringField
  from ...tensor.datasource.from_vineyard import resolve_vineyard_socket
  from ...utils import calc_nsplits, has_unknown_shape, lazy_import
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
label_desc: Use image node_id 6 for calling the DataFrameFromVineyard obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op