code: def _new_chunks(self, inputs, kws=None, **kw):
      if self.stage == OperandStage.map and len(inputs) < len(
          self._inputs
      ):
          assert len(inputs) == len(self._inputs) - 1
          inputs.append(self._fill_value.chunks[0])
  
      if (
          self.stage == OperandStage.agg
          and self._fill_value is not None
      ):
          # fill_value is not required
          self._fill_value = None
  
      return super()._new_chunks(inputs, kws=kws, **kw)
  
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 15 for calling the DataFrameReindex obj's underlying member method code with example usage: obj._new_chunks(inputs, kws) and returns: super