code: def _tile_series(cls, op):
      from ..indexing.iloc import SeriesIlocGetItem
      from ..merge import DataFrameConcat
  
      if has_unknown_shape(*op.inputs):
          yield
  
      inp = op.input
      out = op.outputs[0]
  
      out_chunks = []
  
      for i, c in enumerate(inp.chunks):
          chunk_op = op.copy().reset_key()
  
          if op.freq is not None:
              # shift index
              index_value = cls._get_index_value(
                  c.index_value, op.periods, op.freq
              )
              out_chunk = chunk_op.new_chunk(
                  [c],
                  shape=c.shape,
                  index_value=index_value,
                  name=c.name,
                  dtype=out.dtype,
                  index=c.index,
              )
          else:
              inc = op.periods > 0
              prev_i = i - 1 if inc else i + 1
  
              to_concats = [c]
              left = abs(op.periods)
              while left > 0 and 0 <= prev_i < inp.chunk_shape[0]:
                  prev_chunk = inp.cix[prev_i,]
                  size = min(left, prev_chunk.shape[0])
                  left -= size
                  prev_i = prev_i - 1 if inc else prev_i + 1
  
                  if size == prev_chunk.shape[0]:
                      to_concat = prev_chunk
                  else:
                      slc = slice(-size, None) if inc else slice(size)
                      slc_op = SeriesIlocGetItem(indexes=[slc])
                      to_concat = slc_op.new_chunk([prev_chunk])
  
                  if inc:
                      to_concats.insert(0, to_concat)
                  else:
                      to_concats.append(to_concat)
  
              if len(to_concats) == 1:
                  to_concat = to_concats[0]
              else:
                  concat_op = DataFrameConcat(
                      output_types=[OutputType.series]
                  )
                  to_concat = concat_op.new_chunk(to_concats)
  
              out_chunk = chunk_op.new_chunk(
                  [to_concat],
                  index=(i,),
                  shape=c.shape,
                  index_value=c.index_value,
                  dtype=out.dtype,
                  name=out.name,
              )
          out_chunks.append(out_chunk)
  
      params = out.params
      params["chunks"] = out_chunks
      params["nsplits"] = inp.nsplits
      new_op = op.copy()
      return new_op.new_tileables(op.inputs, kws=[params])
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...serialization.serializables import KeyField, AnyField, Int8Field, Int64Field
  from ...utils import has_unknown_shape, no_default, pd_release_version
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, build_df, build_series, validate_axis
label_desc: Use image node_id 13 for calling the DataFrameShift obj's underlying member method code with example usage: obj._tile_series(cls, op) and returns: new_op