code: def testPrepareProcessingGraph(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"], 100)
      background_dir = os.path.join(wav_dir, "_background_noise_")
      os.mkdir(background_dir)
      wav_data = self._getWavData()
      for i in range(10):
          file_path = os.path.join(
              background_dir, "background_audio_%d.wav" % i
          )
          self._saveTestWavFile(file_path, wav_data)
      model_settings = {
          "desired_samples": 160,
          "fingerprint_size": 40,
          "label_count": 4,
          "window_size_samples": 100,
          "window_stride_samples": 100,
          "fingerprint_width": 40,
          "preprocess": "mfcc",
      }
      audio_processor = input_data.AudioProcessor(
          "",
          wav_dir,
          10,
          10,
          ["a", "b"],
          10,
          10,
          model_settings,
          tmp_dir,
      )
      self.assertIsNotNone(audio_processor.wav_filename_placeholder_)
      self.assertIsNotNone(
          audio_processor.foreground_volume_placeholder_
      )
      self.assertIsNotNone(
          audio_processor.time_shift_padding_placeholder_
      )
      self.assertIsNotNone(
          audio_processor.time_shift_offset_placeholder_
      )
      self.assertIsNotNone(audio_processor.background_data_placeholder_)
      self.assertIsNotNone(
          audio_processor.background_volume_placeholder_
      )
      self.assertIsNotNone(audio_processor.output_)
  
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 14 for calling the InputDataTest obj's underlying member method code with example usage: obj.testPrepareProcessingGraph() without return types