code: def tile(cls, op):
      in_elements = op.input
      out_elements = op.outputs[0]
  
      if len(op.inputs) > 1:
          return (yield from cls._tile_entity_values(op))
  
      out_chunks = []
      for chunk in in_elements.chunks:
          out_chunk = cls._new_chunk(op, chunk, [chunk])
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      params = out_elements.params
      params["nsplits"] = in_elements.nsplits
      params["chunks"] = out_chunks
      return new_op.new_tileables(op.inputs, kws=[params])
  
imports: import itertools
  import numpy
  import pandas
  from pandas.api.types import is_list_like
  from ...None import opcodes
  from ...core import ENTITY_TYPE
  from ...serialization.serializables import KeyField, AnyField
  from ...tensor.core import TENSOR_TYPE
  from ..core import DATAFRAME_TYPE, SERIES_TYPE, INDEX_TYPE, OutputType
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from .drop_duplicates import DataFrameDropDuplicates
label_desc: Use image node_id 4 for calling the DataFrameIsin obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op, unknown