code: def test_audio_dataset_from_directory_no_output_sequence_length_no_ragged(
      self,
  ):
      # This test case tests `audio_dataset_from_directory` when `ragged` and
      # `output_sequence_length` are not passed while the input sequence
      # lengths are different.
      directory = self._prepare_directory(
          num_classes=2, count=16, different_sequence_lengths=True
      )
      # The tensor shapes are different and output_sequence_length is None
      # should work fine and pad each sequence to the length of the longest
      # sequence in it's batch
      min_sequence_length, max_sequence_length = 10, 30
      possible_sequence_lengths = [
          i for i in range(min_sequence_length, max_sequence_length + 1)
      ]
      dataset = audio_dataset_utils.audio_dataset_from_directory(
          directory, batch_size=2
      )
      sequence_lengths = list(set([b.shape[1] for b, _ in dataset]))
      for seq_len in sequence_lengths:
          self.assertIn(seq_len, possible_sequence_lengths)
  
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 13 for calling the AudioDatasetFromDirectoryTest obj's underlying member method code with example usage: obj.test_audio_dataset_from_directory_no_output_sequence_length_no_ragged() without return types