code: def _postprocess_for_cut(
      fac, bins, retbins, x_is_series, series_index, name, dtype
  ):
      """
      handles post processing for the cut method where
      we combine the index information if the originally passed
      datatype was a series
      """
      if x_is_series:
          fac = Series(fac, index=series_index, name=name)
  
      if not retbins:
          return fac
  
      bins = _convert_bin_to_datelike_type(bins, dtype)
  
      return fac, bins
  
file_path: catboost/contrib/python/pandas/py2/pandas/core/reshape/tile.py
imports: from functools import partial
  import numpy
  from pandas._libs.lib import infer_dtype
  from pandas.core.dtypes.common import _NS_DTYPE, ensure_int64, is_categorical_dtype, is_datetime64_dtype, is_datetime64tz_dtype, is_datetime_or_timedelta_dtype, is_integer, is_scalar, is_timedelta64_dtype
  from pandas.core.dtypes.missing import isna
  from pandas import Categorical, Index, Interval, IntervalIndex, Series, Timedelta, Timestamp, to_datetime, to_timedelta
  import pandas.core.algorithms
  import pandas.core.nanops
label_desc: Use image node_id 10 for calling a global function with example usage: _postprocess_for_cut(fac, bins, retbins, x_is_series, series_index, name, dtype) and returns: fac,  bins, fac