code: def tile(cls, op):
      if all(len(inp.chunks) == 1 for inp in op.inputs):
          # tile one chunk
          out = op.outputs[0]
  
          chunk_op = op.copy().reset_key()
          chunk_params = out.params.copy()
          chunk_params["index"] = (0,) * out.ndim
          out_chunk = chunk_op.new_chunk(
              [inp.chunks[0] for inp in op.inputs], kws=[chunk_params]
          )
  
          params = out.params.copy()
          params["nsplits"] = ((s,) for s in out.shape)
          params["chunks"] = [out_chunk]
          new_op = op.copy()
          return new_op.new_tileables(op.inputs, kws=[params])
  
      handler = DataFrameReindexHandler()
      result = yield from handler.handle(op)
      if op.method is None and op.fill_value is None:
          return [result]
      else:
          axis = 1 if op.columns is not None and op.index is None else 0
          result = result.fillna(
              value=op.fill_value,
              method=op.method,
              axis=axis,
              limit=op.limit,
          )
          return [(yield from recursive_tile(result))]
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, AnyField, StringField, Int64Field, BoolField
  from ...tensor import tensor
  from ...utils import lazy_import, pd_release_version
  from ..core import Index, INDEX_TYPE
  from ..initializer import Index
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import validate_axis_style_args, parse_index
  from .index_lib import DataFrameReindexHandler
label_desc: Use image node_id 18 for calling the DataFrameReindex obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op, list, list