code: def tile(cls, op):
      inp = op.input
      out = op.outputs[0]
  
      # aggregation concat resulting in scalars is redirected
      assert out.ndim != 0
  
      if isinstance(op.inputs[1], TENSOR_TYPE):
          if has_unknown_shape(*op.inputs):
              yield
          # rechunk others as input
          others = yield from recursive_tile(
              op.inputs[1].rechunk(op.input.nsplits)
          )
          out_chunks = []
          for c in inp.chunks:
              chunk_op = op.copy().reset_key()
              chunk_op._method_kwargs = op.method_kwargs.copy()
              out_chunk = chunk_op.new_chunk(
                  [c, others.cix[c.index]],
                  dtype=c.dtype,
                  index=c.index,
                  shape=c.shape,
                  index_value=c.index_value,
                  name=c.name,
              )
              out_chunks.append(out_chunk)
          new_op = op.copy()
          params = out.params
          params["nsplits"] = inp.nsplits
          params["chunks"] = out_chunks
          return new_op.new_tileables(op.inputs, kws=[params])
      elif isinstance(op.inputs[1], SERIES_TYPE):
          # both series
          out_chunks = []
          nsplits, _, left_chunks, right_chunks = align_series_series(
              *op.inputs
          )
          for left_chunk, right_chunk in zip(left_chunks, right_chunks):
              chunk_op = op.copy().reset_key()
              chunk_op._method_kwargs = op.method_kwargs.copy()
              params = left_chunk.params
              params["name"] = out.name
              out_chunk = chunk_op.new_chunk(
                  [left_chunk, right_chunk], **params
              )
              out_chunks.append(out_chunk)
          new_op = op.copy()
          params = out.params
          params["nsplits"] = nsplits
          params["chunks"] = out_chunks
          return new_op.new_tileables(op.inputs, 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 SeriesStringCatHandler obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op, new_op