code: def _offset_to_nanoseconds_lower_bound(offset: DateOffset) -> int:
      """Given a DateOffset, which can consist of either fixed frequency or
      non-fixed frequency offset, convert to the smallest possible fixed
      frequency offset based in nanoseconds.
  
      Specifically, the smallest fixed frequency conversion for {months=1}
      is 28 * nano_seconds_per_day, because 1 month contains at least 28 days.
      Similarly, the smallest fixed frequency conversion for {year=1} is
      365 * nano_seconds_per_day.
  
      This utility is used to compute the upper bound of the count of timestamps
      given a range of datetime and an offset.
      """
      nanoseconds_per_day = 24 * 60 * 60 * 10**9
      kwds = offset.kwds
      return (
          kwds.get("years", 0) * (365 * nanoseconds_per_day)
          + kwds.get("months", 0) * (28 * nanoseconds_per_day)
          + kwds.get("weeks", 0) * (7 * nanoseconds_per_day)
          + kwds.get("days", 0) * nanoseconds_per_day
          + kwds.get("hours", 0) * 3600 * 10**9
          + kwds.get("minutes", 0) * 60 * 10**9
          + kwds.get("seconds", 0) * 10**9
          + kwds.get("milliseconds", 0) * 10**6
          + kwds.get("microseconds", 0) * 10**3
          + kwds.get("nanoseconds", 0)
      )
  
imports: import math
  import re
  import warnings
  from typing import Sequence, Union
  import cupy
  import numpy
  import pandas
  import pandas.tseries.offsets
  from pandas.core.tools.datetimes import _unit_map
  from typing_extensions import Self
  import cudf
  from cudf import _lib
  from cudf._lib.strings.convert.convert_integers import is_integer
  from cudf.api.types import is_integer, is_scalar
  from cudf.core import column
  from cudf.core.index import as_index
label_desc: Use image node_id 9 for calling a global function with example usage: _offset_to_nanoseconds_lower_bound(offset) and returns: unknown