code: def _tile_dataframe_series(cls, op):
      left, right = op.inputs[0], op.inputs[1]
      df = op.outputs[0]
  
      (
          nsplits,
          out_shape,
          left_chunks,
          right_chunks,
      ) = align_dataframe_series(left, right, axis=1)
      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):
          series_chunk = right_chunks[out_idx[1]]
          kw = dict(
              shape=(nsplits[0][out_idx[0]], nsplits[1][out_idx[1]]),
              index_value=df_chunk.index_value,
              columns_value=df_chunk.columns_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().reset_key()
      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 numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core import ENTITY_TYPE, Entity, OutputType, get_output_types
  from ...core.operand import OperandStage
  from ...serialization.serializables import StringField, AnyField, BoolField, Int64Field
  from ..align import align_dataframe_dataframe, align_dataframe_series, align_series_series
  from ..core import DATAFRAME_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperandMixin, DataFrameOperand
  from ..utils import validate_axis
label_desc: Use image node_id 19 for calling the FillNA obj's underlying member method code with example usage: obj._tile_dataframe_series(cls, op) and returns: new_op