code: def tile(cls, op):
      out = op.outputs[0]
  
      if out.op.output_types[0] == OutputType.series:
          return super().tile(op)
  
      out_chunks = []
      columns = out.columns_value.to_pandas()
      for series_chunk in op.input.chunks:
          chunk_op = op.copy().reset_key()
          out_chunk = chunk_op.new_chunk(
              [series_chunk],
              shape=(series_chunk.shape[0], len(columns)),
              index=(series_chunk.index[0], 0),
              dtypes=out.dtypes,
              index_value=series_chunk.index_value,
              columns_value=out.columns_value,
          )
          out_chunks.append(out_chunk)
  
      params = out.params
      params["chunks"] = out_chunks
      params["nsplits"] = (op.input.nsplits[0], (len(columns),))
      new_op = op.copy()
      return new_op.new_tileables([op.input], kws=[params])
  
imports: import inspect
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...serialization.serializables import KeyField, StringField, TupleField, DictField
  from ...tensor import tensor
  from ...tensor.core import TENSOR_TYPE
  from ...utils import has_unknown_shape
  from ..align import align_series_series
  from ..core import SERIES_TYPE
  from ..initializer import Series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_series, parse_index, infer_index_value
label_desc: Use image node_id 2 for calling the SeriesStringSplitHandler obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op, super