code: def _tile_dataframe_series(cls, op):
      left, right = op.lhs, op.rhs
      df = op.outputs[0]
  
      (
          nsplits,
          out_shape,
          left_chunks,
          right_chunks,
      ) = align_dataframe_series(left, right, axis=op.axis)
      out_chunk_indexes = itertools.product(
          *(range(s) for s in out_shape)
      )
  
      out_chunks = []
      for out_idx, df_chunk in zip(out_chunk_indexes, left_chunks):
          if op.axis == "columns" or op.axis == 1:
              series_chunk = right_chunks[out_idx[1]]
              kw = {
                  "shape": (
                      nsplits[0][out_idx[0]],
                      nsplits[1][out_idx[1]],
                  ),
                  "index_value": df_chunk.index_value,
                  "dtypes_value": df_chunk.dtypes_value,
              }
          else:
              series_chunk = right_chunks[out_idx[0]]
              kw = {
                  "shape": (
                      nsplits[0][out_idx[0]],
                      nsplits[1][out_idx[1]],
                  ),
                  "columns_value": df_chunk.columns_value,
                  "dtypes_value": df_chunk.dtypes_value,
              }
          out_chunk = (
              op.copy()
              .reset_key()
              .new_chunk([df_chunk, series_chunk], index=out_idx, **kw)
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      return new_op.new_dataframes(
          op.inputs,
          df.shape,
          nsplits=tuple(tuple(ns) for ns in nsplits),
          chunks=out_chunks,
          dtypes=df.dtypes,
          index_value=df.index_value,
          columns_value=df.columns_value,
      )
  
imports: import itertools
  import copy
  from functools import reduce
  import numpy
  import pandas
  from ...core import ENTITY_TYPE, CHUNK_TYPE, recursive_tile
  from ...serialization.serializables import AnyField
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE, ChunkData, Chunk
  from ...utils import classproperty, get_dtype
  from ..align import align_series_series, align_dataframe_series, align_dataframe_dataframe
  from ..core import DATAFRAME_TYPE, SERIES_TYPE, DATAFRAME_CHUNK_TYPE, SERIES_CHUNK_TYPE, is_chunk_meta_lazy
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..ufunc.tensor import TensorUfuncMixin
  from ..utils import parse_index, infer_dtypes, infer_dtype, infer_index_value, build_empty_df
label_desc: Use image node_id 3 for calling the DataFrameBinOpMixin obj's underlying member method code with example usage: obj._tile_dataframe_series(cls, op) and returns: new_op