code: def _align_input_and_by(cls, op, inp, by):
      align_method = (
          partial(align_dataframe_series, axis="index")
          if op.is_dataframe_obj
          else align_series_series
      )
      nsplits, _, inp_chunks, by_chunks = align_method(inp, by)
  
      inp_params = inp.params
      inp_params["chunks"] = inp_chunks
      inp_params["nsplits"] = nsplits
      inp = inp.op.copy().new_tileable(op.inputs, kws=[inp_params])
  
      by_params = by.params
      by_params["chunks"] = by_chunks
      if len(nsplits) == 2:
          by_nsplits = nsplits[:1]
      else:
          by_nsplits = nsplits
      by_params["nsplits"] = by_nsplits
      by = by.op.copy().new_tileable(by.op.inputs, kws=[by_params])
  
      return inp, by
  
imports: import itertools
  from functools import partial
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, Entity, OutputType
  from ...core.operand import OperandStage, MapReduceOperand
  from ...lib.groupby_wrapper import wrapped_groupby
  from ...serialization.serializables import BoolField, Int32Field, AnyField
  from ...utils import lazy_import, pd_release_version, no_default
  from ..align import align_dataframe_series, align_series_series
  from ..initializer import Series
  from ..core import SERIES_TYPE, SERIES_CHUNK_TYPE
  from ..utils import build_concatenated_rows_frame, hash_dataframe_on, build_df, build_series, parse_index, is_cudf
  from ..operands import DataFrameOperandMixin, DataFrameShuffleProxy
label_desc: Use image node_id 13 for calling the DataFrameGroupByOperand obj's underlying member method code with example usage: obj._align_input_and_by(cls, op, inp, by) and returns: inp,  by