code: def get_num_steps(
      self,
      index: int,
      num_steps_max: int = 10000,
      long_freq: int = 4,
      num_steps_min: int = 2,
      short_freq: int = 4,
  ) -> int:
      num_steps = self.num_steps
      if self.is_long and index % long_freq == 0:
          num_steps = num_steps_max
      elif self.is_short and index % short_freq == 0:
          num_steps = num_steps_min
      return num_steps
  
imports: import math
  import random
  from abc import abstractmethod
  from typing import Callable, Dict, List, NamedTuple, Optional, Tuple, Union, cast
  import numpy
  import pandas
  from pandas.tseries.frequencies import to_offset
  from pandas.tseries.offsets import BaseOffset, Week
  from gluonts.dataset.artificial.recipe import BinaryHolidays, BinaryMarkovChain, Constant, ForEachCat, Lag, LinearTrend, RandomCat, RandomGaussian, Stack, generate, take_as_list
  from gluonts.dataset.common import BasicFeatureInfo, CategoricalFeatureInfo, DataEntry, Dataset, ListDataset, MetaData, TrainDatasets
  from gluonts.dataset.field_names import FieldName
  from gluonts.dataset.stat import DatasetStatistics, calculate_dataset_statistics
label_desc: Use image node_id 6 for calling the ConstantDataset obj's underlying member method code with example usage: obj.get_num_steps(index, num_steps_max, long_freq, num_steps_min, short_freq) and returns: num_steps