code: def _seasonality_from_freq(series: TimeSeries):
      """
      Infer a naive seasonality based on the frequency
      """
  
      if series.has_range_index:
          return None
  
      freq = series.freq_str
  
      if freq in ["B", "C"]:
          return [5]
      elif freq == "D":
          return [7]
      elif freq == "W":
          return [52]
      elif freq in ["M", "BM", "CBM", "SM"] or freq.startswith(
          ("M", "BM", "BS", "CBM", "SM")
      ):
          return [12]  # month
      elif freq in ["Q", "BQ", "REQ"] or freq.startswith(
          ("Q", "BQ", "REQ")
      ):
          return [4]  # quarter
      elif freq in ["H", "BH", "CBH"]:
          return [24]  # hour
      elif freq in ["T", "min"]:
          return [60]  # minute
      elif freq == "S":
          return [60]  # second
  
      return None
  
imports: from abc import ABC, abstractmethod
  from typing import List, Optional, Tuple, Union
  import numpy
  from scipy.special import inv_boxcox
  from tbats import BATS
  from tbats import TBATS
  from darts.logging import get_logger
  from darts.models.forecasting.forecasting_model import LocalForecastingModel
  from darts.timeseries import TimeSeries
label_desc: Use image node_id 1 for calling a global function with example usage: _seasonality_from_freq(series) and returns: None, None, list, list, list, list, list, list, list, list