code: def _get_max_length_feature(
      preprocessing_parameters: PreprocessingConfigDict,
      sampling_rate_in_hz,
      audio_length_limit_in_s,
  ):
      feature_type = preprocessing_parameters[TYPE]
      audio_length_limit_in_samp = (
          audio_length_limit_in_s * sampling_rate_in_hz
      )
  
      if not audio_length_limit_in_samp.is_integer():
          raise ValueError(
              "Audio_file_length_limit has to be chosen "
              "so that {} (in s) * {} (sampling rate in Hz) "
              "is an integer.".format(
                  audio_length_limit_in_s, sampling_rate_in_hz
              )
          )
      audio_length_limit_in_samp = int(audio_length_limit_in_samp)
  
      if feature_type == "raw":
          return audio_length_limit_in_samp
      elif feature_type in [
          "stft",
          "stft_phase",
          "group_delay",
          "fbank",
      ]:
          window_length_in_s = preprocessing_parameters[
              "window_length_in_s"
          ]
          window_shift_in_s = preprocessing_parameters[
              "window_shift_in_s"
          ]
          return get_max_length_stft_based(
              audio_length_limit_in_samp,
              window_length_in_s,
              window_shift_in_s,
              sampling_rate_in_hz,
          )
      else:
          raise ValueError(f"{feature_type} is not recognized.")
  
imports: import logging
  import os
  from typing import Dict, List, Optional, Tuple, Union
  import numpy
  import torch
  import torchaudio
  from packaging import version
  from ludwig.constants import AUDIO, AUDIO_FEATURE_KEYS, COLUMN, NAME, PREPROCESSING, PROC_COLUMN, SRC, TYPE
  from ludwig.features.base_feature import BaseFeatureMixin
  from ludwig.features.sequence_feature import SequenceInputFeature
  from ludwig.schema.features.audio_feature import AudioInputFeatureConfig
  from ludwig.types import FeatureMetadataDict, ModelConfigDict, PreprocessingConfigDict, TrainingSetMetadataDict
  from ludwig.utils.audio_utils import calculate_mean, calculate_var, get_default_audio, get_fbank, get_group_delay, get_length_in_samp, get_max_length_stft_based, get_non_symmetric_length, get_phase_stft_magnitude, get_stft_magnitude, is_torch_audio_tuple, read_audio_from_bytes_obj, read_audio_from_path
  from ludwig.utils.data_utils import get_abs_path
  from ludwig.utils.fs_utils import has_remote_protocol
  from ludwig.utils.misc_utils import set_default_value
  from ludwig.utils.types import TorchscriptPreprocessingInput
label_desc: Use image node_id 11 for calling the AudioFeatureMixin obj's underlying member method code with example usage: obj._get_max_length_feature(preprocessing_parameters, sampling_rate_in_hz, audio_length_limit_in_s) and returns: audio_length_limit_in_samp, get_max_length_stft_based