code: def tile(cls, op):
      outs = op.outputs
      chunk_op = op.copy().reset_key()
  
      chunk_inputs = []
      pure_depends = []
      executed = False
      for inp in op.inputs:
          if cls._no_prepare(inp):  # pragma: no cover
              if not executed:
                  # trigger execution
                  yield
              else:
                  executed = True
              # if input is tensor, DataFrame etc,
              # do not prepare data, because the data may be to huge,
              # and users can choose to fetch slice of the data themselves
              pure_depends.extend(
                  [not op.resolve_tileable_input] * len(inp.chunks)
              )
          else:
              pure_depends.extend([False] * len(inp.chunks))
          chunk_inputs.extend(inp.chunks)
      chunk_op._pure_depends = pure_depends
      # record tileable op key for chunk op
      chunk_op.tileable_op_key = op.key
  
      out_chunks = [list() for _ in range(len(outs))]
      chunk_kws = []
      for i, out in enumerate(outs):
          chunk_params = out.params
          chunk_params["index"] = ()
          chunk_params["i"] = i
          chunk_kws.append(chunk_params)
      chunks = chunk_op.new_chunks(chunk_inputs, kws=chunk_kws)
      for i, c in enumerate(chunks):
          out_chunks[i].append(c)
  
      kws = []
      for i, out in enumerate(outs):
          params = out.params
          params["chunks"] = out_chunks[i]
          params["nsplits"] = ()
          kws.append(params)
      new_op = op.copy()
      return new_op.new_tileables(op.inputs, kws=kws)
  
imports: from collections import UserDict
  from collections.abc import Iterable
  from functools import partial
  from ..None import opcodes
  from ..core import ENTITY_TYPE, ChunkData, Tileable
  from ..core.custom_log import redirect_custom_log
  from ..core.operand import ObjectOperand
  from ..dataframe.core import DATAFRAME_TYPE, SERIES_TYPE, INDEX_TYPE
  from ..serialization.serializables import FunctionField, ListField, DictField, BoolField, Int32Field
  from ..tensor.core import TENSOR_TYPE
  from ..utils import build_fetch_tileable, enter_current_session, find_objects, replace_objects, merge_chunks, merged_chunk_as_tileable_type
  from .operands import RemoteOperandMixin
label_desc: Use image node_id 6 for calling the RemoteFunction obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op