code: def tile(cls, op):
      in_series = op.input
      out_series = op.outputs[0]
  
      arg = op.arg
      if len(op.inputs) == 2:
          # make sure arg has known shape when it's a md.Series
          if has_unknown_shape(op.arg):
              yield
          arg = yield from recursive_tile(op.arg.rechunk(op.arg.shape))
  
      out_chunks = []
      for chunk in in_series.chunks:
          chunk_op = op.copy().reset_key()
          chunk_op.tileable_op_key = op.key
          chunk_inputs = [chunk]
          if len(op.inputs) == 2:
              chunk_inputs.append(arg.chunks[0])
          out_chunk = chunk_op.new_chunk(
              chunk_inputs,
              shape=chunk.shape,
              dtype=out_series.dtype,
              index_value=chunk.index_value,
              name=out_series.name,
              index=chunk.index,
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      params = out_series.params
      params["chunks"] = out_chunks
      params["nsplits"] = in_series.nsplits
      return new_op.new_tileables(op.inputs, kws=[params])
  
imports: import inspect
  from collections.abc import MutableMapping
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...core.custom_log import redirect_custom_log
  from ...serialization.serializables import KeyField, AnyField, StringField
  from ...utils import has_unknown_shape, enter_current_session, quiet_stdio
  from ..core import SERIES_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_series
label_desc: Use image node_id 7 for calling the DataFrameMap obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op