code: def time_features_from_frequency_str(
      freq_str: str,
  ) -> List[TimeFeature]:
      """
      Returns a list of time features that will be appropriate for the given frequency string.
      Parameters
      ----------
      freq_str
          Frequency string of the form [multiple][granularity] such as "12H", "5min", "1D" etc.
      """
  
      if freq_str not in ["Q", "M", "MS", "W", "D", "B", "H", "T", "S"]:
          raise Exception("Frequency not supported")
  
      if freq_str in ["Q", "M", "MS"]:
          return [cls() for cls in [MonthOfYear]]
      elif freq_str == "W":
          return [cls() for cls in [DayOfMonth, WeekOfYear]]
      elif freq_str in ["D", "B"]:
          return [cls() for cls in [DayOfWeek, DayOfMonth, DayOfYear]]
      elif freq_str == "H":
          return [
              cls()
              for cls in [HourOfDay, DayOfWeek, DayOfMonth, DayOfYear]
          ]
      elif freq_str == "T":
          return [
              cls()
              for cls in [
                  MinuteOfHour,
                  HourOfDay,
                  DayOfWeek,
                  DayOfMonth,
                  DayOfYear,
              ]
          ]
      else:
          return [
              cls()
              for cls in [
                  SecondOfMinute,
                  MinuteOfHour,
                  HourOfDay,
                  DayOfWeek,
                  DayOfMonth,
                  DayOfYear,
              ]
          ]
  
imports: import random
  from itertools import chain
  import numpy
  import pandas
  from typing import List
label_desc: Use image node_id 2 for calling a global function with example usage: time_features_from_frequency_str(freq_str) and returns: unknown, unknown, unknown, unknown, unknown, unknown