code: def freq_to_period(freq: str | offsets.DateOffset) -> int:
      """
      Convert a pandas frequency to a periodicity
  
      Parameters
      ----------
      freq : str or offset
          Frequency to convert
  
      Returns
      -------
      int
          Periodicity of freq
  
      Notes
      -----
      Annual maps to 1, quarterly maps to 4, monthly to 12, weekly to 52.
      """
      if not isinstance(freq, offsets.DateOffset):
          freq = to_offset(freq)  # go ahead and standardize
      assert isinstance(freq, offsets.DateOffset)
      freq = freq.rule_code.upper()
  
      yearly_freqs = ("A-", "AS-", "Y-", "YS-", "YE-")
      if freq in ("A", "Y") or freq.startswith(yearly_freqs):
          return 1
      elif freq == "Q" or freq.startswith(("Q-", "QS", "QE")):
          return 4
      elif freq == "M" or freq.startswith(("M-", "MS", "ME")):
          return 12
      elif freq == "W" or freq.startswith("W-"):
          return 52
      elif freq == "D":
          return 7
      elif freq == "B":
          return 5
      elif freq == "H":
          return 24
      else:  # pragma : no cover
          raise ValueError(
              "freq {} not understood. Please report if you "
              "think this is in error.".format(freq)
          )
  
imports: from __future__ import annotations
  from statsmodels.compat.python import Literal, lrange
  import warnings
  import numpy
  import pandas
  from pandas import DataFrame
  from pandas.tseries import offsets
  from pandas.tseries.frequencies import to_offset
  from statsmodels.tools.data import _is_recarray, _is_using_pandas
  from statsmodels.tools.sm_exceptions import ValueWarning
  from statsmodels.tools.typing import NDArray
  from statsmodels.tools.validation import array_like, bool_like, int_like, string_like
label_desc: Use image node_id 22 for calling a global function with example usage: freq_to_period(freq) and returns: int, int, int, int, int, int, int