code: def testGetFeaturesForWav(self):
      tmp_dir = self.get_temp_dir()
      wav_dir = os.path.join(tmp_dir, "wavs")
      os.mkdir(wav_dir)
      self._saveWavFolders(wav_dir, ["a", "b", "c"], 1)
      desired_samples = 1600
      model_settings = {
          "desired_samples": desired_samples,
          "fingerprint_size": 40,
          "label_count": 4,
          "window_size_samples": 100,
          "window_stride_samples": 100,
          "fingerprint_width": 40,
          "average_window_width": 6,
          "preprocess": "average",
      }
      with self.cached_session() as sess:
          audio_processor = input_data.AudioProcessor(
              "",
              wav_dir,
              10,
              10,
              ["a", "b"],
              10,
              10,
              model_settings,
              tmp_dir,
          )
          sample_data = np.zeros([desired_samples, 1])
          for i in range(desired_samples):
              phase = i % 4
              if phase == 0:
                  sample_data[i, 0] = 0
              elif phase == 1:
                  sample_data[i, 0] = -1
              elif phase == 2:
                  sample_data[i, 0] = 0
              elif phase == 3:
                  sample_data[i, 0] = 1
          test_wav_path = os.path.join(tmp_dir, "test_wav.wav")
          input_data.save_wav_file(test_wav_path, sample_data, 16000)
  
          results = audio_processor.get_features_for_wav(
              test_wav_path, model_settings, sess
          )
          spectrogram = results[0]
          self.assertEqual(1, spectrogram.shape[0])
          self.assertEqual(16, spectrogram.shape[1])
          self.assertEqual(11, spectrogram.shape[2])
          self.assertNear(0, spectrogram[0, 0, 0], 0.1)
          self.assertNear(200, spectrogram[0, 0, 5], 0.1)
  
imports: import os
  import numpy
  import tensorflow
  from tensorflow.examples.speech_commands import input_data
  from tensorflow.examples.speech_commands import models
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 20 for calling the InputDataTest obj's underlying member method code with example usage: obj.testGetFeaturesForWav() without return types