code: def _infer_daily_rule(self):
      if self.is_unique:
          days = self.deltas[0] / _ONE_DAY
          if days % 7 == 0:
              # Weekly
              wd = int_to_weekday[self.rep_stamp.weekday()]
              alias = "W-{weekday}".format(weekday=wd)
              return _maybe_add_count(alias, days / 7)
          else:
              return _maybe_add_count("D", days)
  
imports: from datetime import timedelta
  import re
  import numpy
  from pytz import AmbiguousTimeError
  from pandas._libs.algos import unique_deltas
  from pandas._libs.tslibs import Timedelta, Timestamp
  from pandas._libs.tslibs.ccalendar import MONTH_ALIASES, int_to_weekday
  from pandas._libs.tslibs.conversion import tz_convert
  from pandas._libs.tslibs.fields import build_field_sarray
  import pandas._libs.tslibs.frequencies
  from pandas._libs.tslibs.offsets import _offset_to_period_map
  import pandas._libs.tslibs.resolution
  from pandas._libs.tslibs.resolution import Resolution
  from pandas._libs.tslibs.timezones import UTC
  import pandas.compat
  from pandas.compat import zip
  from pandas.util._decorators import cache_readonly
  from pandas.core.dtypes.common import is_datetime64_dtype, is_period_arraylike, is_timedelta64_dtype
  from pandas.core.dtypes.generic import ABCSeries
  from pandas.core.algorithms import unique
  from pandas.tseries.offsets import DateOffset, Day, Hour, Micro, Milli, Minute, Nano, Second, prefix_mapping
label_desc: Use image node_id 1 for calling the _TimedeltaFrequencyInferer obj's underlying member method code with example usage: obj._infer_daily_rule() and returns: _maybe_add_count, _maybe_add_count