code: def tile(cls, op):
      in_df = op.inputs[0]
      out_df = op.outputs[0]
      out_chunks = []
      if len(op.inputs) > 1:
          index_series = op.inputs[1]
          is_identical = is_index_value_identical(in_df, index_series)
          if not is_identical:
              raise NotImplementedError(
                  "Only identical index value is supported"
              )
          if len(in_df.nsplits[1]) != 1:
              raise NotImplementedError(
                  "Column-split chunks are not supported"
              )
          for target_chunk, index_chunk in zip(
              in_df.chunks, index_series.chunks
          ):
              chunk_op = op.copy().reset_key()
              out_chunk = chunk_op.new_chunk(
                  [target_chunk, index_chunk],
                  shape=target_chunk.shape,
                  index=target_chunk.index,
                  dtypes=target_chunk.dtypes,
                  index_value=target_chunk.index_value,
                  columns_value=target_chunk.columns_value,
              )
              out_chunks.append(out_chunk)
      else:
          for target_chunk in in_df.chunks:
              chunk_op = op.copy().reset_key()
              out_chunk = chunk_op.new_chunk(
                  [target_chunk],
                  shape=target_chunk.shape,
                  index=target_chunk.index,
                  dtypes=target_chunk.dtypes,
                  index_value=target_chunk.index_value,
                  columns_value=target_chunk.columns_value,
              )
              out_chunks.append(out_chunk)
  
      new_op = op.copy()
      return new_op.new_dataframes(
          op.inputs,
          shape=out_df.shape,
          dtypes=out_df.dtypes,
          index_value=out_df.index_value,
          columns_value=out_df.columns_value,
          chunks=out_chunks,
          nsplits=in_df.nsplits,
      )
  
imports: from numbers import Integral
  from typing import Dict
  import numpy
  import pandas
  from pandas.core.dtypes.cast import find_common_type
  from pandas.core.indexing import IndexingError
  from .iloc import DataFrameIlocSetItem
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, ListField, AnyField
  from ...tensor.datasource import asarray
  from ...tensor.utils import calc_sliced_size, filter_inputs
  from ...utils import lazy_import, is_full_slice
  from ..core import IndexValue, DATAFRAME_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, is_index_value_identical
  from .index_lib import DataFrameLocIndexesHandler
label_desc: Use image node_id 5 for calling the DataFramelocSetItem obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op