code: def tile(cls, op):
      if has_unknown_shape(*op.inputs):
          yield
  
      ctx = get_context()
  
      out_chunks = []
      chunk_map = dict()
      dtypes, columns = None, None
  
      in_chunk_keys = [chunk.key for chunk in op.inputs[0].chunks]
      in_chunk_results = ctx.get_chunks_result(in_chunk_keys)
  
      # check if chunk indexes has unknown value
      has_unknown_chunk_index = False
      for infos in in_chunk_results:
          for _, info in infos.iterrows():  # pragma: no cover
              if len(info["index"]) == 0 or -1 in info["index"]:
                  has_unknown_chunk_index = True
                  break
  
      # assume chunks are row-splitted if chunk index is unknown
      chunk_location = 0
  
      for chunk, infos in zip(op.inputs[0].chunks, in_chunk_results):
          for _, info in infos.iterrows():
              chunk_op = op.copy().reset_key()
              chunk_op.object_id = info["id"]
              chunk_op.expect_worker = info["worker_address"]
              dtypes = info["dtypes"]
              columns = info["columns"]
              shape = info["shape"]
              if has_unknown_chunk_index:  # pragma: no cover
                  chunk_index = (chunk_location, 0)
                  chunk_location += 1
              else:
                  chunk_index = info["index"]
              chunk_map[chunk_index] = info["shape"]
              out_chunk = chunk_op.new_chunk(
                  [chunk],
                  shape=shape,
                  index=chunk_index,
                  dtypes=dtypes,
                  index_value=parse_index(pd.RangeIndex(0, -1)),
                  columns_value=parse_index(pd.Index(columns)),
              )
              out_chunks.append(out_chunk)
  
      nsplits = calc_nsplits(chunk_map)
      shape = [np.sum(nsplit) for nsplit in nsplits]
      new_op = op.copy().reset_key()
      return new_op.new_dataframes(
          op.inputs,
          shape=shape,
          dtypes=dtypes,
          chunks=out_chunks,
          nsplits=nsplits,
          index_value=parse_index(pd.RangeIndex(0, -1)),
          columns_value=parse_index(pd.Index(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 3 for calling the DataFrameFromVineyardChunk obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op