code: def _index_range(relative, cutoff):
      """Return Index Range relative to cutoff."""
      _check_cutoff(cutoff, relative)
      is_timestamp = isinstance(cutoff, pd.DatetimeIndex)
  
      if is_timestamp:
          # coerce to pd.Period for reliable arithmetic operations and
          # computations of time deltas
          cutoff = cutoff.to_period(cutoff.freqstr)
  
      if isinstance(cutoff, pd.Index):
          cutoff = cutoff[[0] * len(relative)]
  
      absolute = cutoff + relative
  
      if is_timestamp:
          # coerce back to DatetimeIndex after operation
          absolute = absolute.to_timestamp(cutoff.freqstr)
      return absolute
  
imports: from functools import lru_cache
  from typing import Optional, Union
  import numpy
  import pandas
  from pandas.tseries.frequencies import to_offset
  from sktime.utils.datetime import _coerce_duration_to_int
  from sktime.utils.validation import array_is_int, array_is_timedelta_or_date_offset, is_array, is_int, is_timedelta_or_date_offset
  from sktime.utils.validation._dependencies import _check_soft_dependencies
  from sktime.utils.validation.series import VALID_INDEX_TYPES, is_in_valid_absolute_index_types, is_in_valid_index_types, is_in_valid_relative_index_types, is_integer_index
label_desc: Use image node_id 9 for calling a global function with example usage: _index_range(relative, cutoff) and returns: absolute