code: def _get_audio_samples(
      self, count=16, different_sequence_lengths=False
  ):
      sequence_length = 30
      num_channels = 1
      audio_samples = []
      for _ in range(count):
          if different_sequence_lengths:
              random_sequence_length = np.random.randint(
                  10, sequence_length + 1
              )
              audio = np.random.random(
                  (random_sequence_length, num_channels)
              )
          else:
              audio = np.random.random((sequence_length, num_channels))
          audio_samples.append(tf.audio.encode_wav(audio, 1000))
      return audio_samples
  
imports: import os
  import numpy
  from keras import testing
  from keras.utils import audio_dataset_utils
  from keras.utils.module_utils import tensorflow
label_desc: Use image node_id 1 for calling the AudioDatasetFromDirectoryTest obj's underlying member method code with example usage: obj._get_audio_samples(count, different_sequence_lengths) and returns: audio_samples