code: def _tile_series(cls, op):
      in_series = op.inputs[0]
      out_series = op.outputs[0]
      output_type = op.output_types[0] if op.output_types else None
  
      chunks = []
      for c in in_series.chunks:
          new_op = op.copy().reset_key()
          new_op.tileable_op_key = op.key
          if output_type == OutputType.df_or_series:
              chunks.append(
                  new_op.new_chunk(
                      [c], collapse_axis=None, index=c.index
                  )
              )
              continue
          kw = c.params.copy()
          if out_series.ndim == 1:
              kw["dtype"] = out_series.dtype
          else:
              kw["index"] = (c.index[0], 0)
              kw["shape"] = (c.shape[0], out_series.shape[1])
              kw["dtypes"] = out_series.dtypes
              kw["columns_value"] = out_series.columns_value
          chunks.append(new_op.new_chunk([c], **kw))
  
      new_op = op.copy()
      kw = out_series.params.copy()
      if output_type == OutputType.df_or_series:
          kw.update(dict(chunks=chunks, nsplits=None))
      else:
          kw.update(dict(chunks=chunks, nsplits=in_series.nsplits))
      if (
          output_type != OutputType.df_or_series
          and out_series.ndim == 2
      ):
          kw["nsplits"] = (in_series.nsplits[0], (out_series.shape[1],))
          kw["columns_value"] = out_series.columns_value
      return new_op.new_tileables(op.inputs, **kw)
  
imports: import inspect
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType, recursive_tile
  from ...core.custom_log import redirect_custom_log
  from ...core.operand import OperatorLogicKeyGeneratorMixin
  from ...serialization.serializables import StringField, AnyField, BoolField, TupleField, DictField, FunctionField
  from ...utils import enter_current_session, quiet_stdio, get_func_token, tokenize
  from ..arrays import ArrowArray
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..utils import build_df, build_series, parse_index, validate_axis, validate_output_types, make_dtypes, make_dtype, build_empty_df, build_empty_series, clean_up_func, restore_func
label_desc: Use image node_id 20 for calling the ApplyOperand obj's underlying member method code with example usage: obj._tile_series(cls, op) and returns: new_op