old_contents: import os
  from io import BytesIO
  import json
  from zipfile import ZipFile
  from urllib import request
  from pathlib import Path
  import sys
  import runpy
  import shutil
  
  PLIERS_DATA_PATH = Path.home() / 'pliers_data' 
  YAMNET_PATH = PLIERS_DATA_PATH / 'yamnet'
  
  
  def setup_yamnet():
      # get the most recent released version of tensorflow/models
      import pdb; pdb.set_trace()
      release_api_url = "https://api.github.com/repos/tensorflow/models/releases/latest"
      with request.urlopen(release_api_url) as release_url:
          tf_models_dict = json.loads(release_url.read())
          tf_models_version = tf_models_dict['tag_name'].lstrip('v')
  
      repo_url = f'https://github.com/tensorflow/models/archive/v{tf_models_version}.zip'
      model_url = 'https://storage.googleapis.com/audioset/yamnet.h5'
  
      tmp_dir = PLIERS_DATA_PATH / 'yamnet_tmp'
      tmp_yamnet_dir = tmp_dir / f'models-{tf_models_version}' / 'research' / 'audioset' / 'yamnet'
      model_filename =  YAMNET_PATH / model_url.split('/')[-1]
      
      if not model_filename.exists():
          PLIERS_DATA_PATH.mkdir(exist_ok=True)
          with request.urlopen(repo_url) as z:
              print('Downloading model repository...\n')
              with ZipFile(BytesIO(z.read())) as zfile:
                  zfile.extractall(str(tmp_dir))
          shutil.move(str(tmp_yamnet_dir), str(PLIERS_DATA_PATH))
          shutil.rmtree(str(tmp_dir))
          size = YAMNET_PATH.stat().st_size
          print(f'Model repository downloaded at {str(YAMNET_PATH)} '
                f', size: {size} bytes\n')
  
          request.urlretrieve(model_url, str(model_filename))
          print(f'Model file downloaded.\n')
  
      print(YAMNET_PATH)
      test_path = YAMNET_PATH / 'yamnet_test.py'
      sys.path.insert(0, str(YAMNET_PATH))
      os.chdir(YAMNET_PATH)
      runpy.run_path(str(test_path), run_name='__main__')
  
  if __name__ == '__main__':
      setup_yamnet()
  
new_contents: import os
  from io import BytesIO
  import json
  from zipfile import ZipFile
  from urllib import request
  from pathlib import Path
  import sys
  import runpy
  import shutil
  
  PLIERS_DATA_PATH = Path.home() / 'pliers_data' 
  YAMNET_PATH = PLIERS_DATA_PATH / 'yamnet'
  
  
  def setup_yamnet():
      # get the most recent released version of tensorflow/models
      release_api_url = "https://api.github.com/repos/tensorflow/models/releases/latest"
      with request.urlopen(release_api_url) as release_url:
          tf_models_dict = json.loads(release_url.read())
          tf_models_version = tf_models_dict['tag_name'].lstrip('v')
  
      repo_url = f'https://github.com/tensorflow/models/archive/v{tf_models_version}.zip'
      model_url = 'https://storage.googleapis.com/audioset/yamnet.h5'
  
      tmp_dir = PLIERS_DATA_PATH / 'yamnet_tmp'
      tmp_yamnet_dir = tmp_dir / f'models-{tf_models_version}' / 'research' / 'audioset' / 'yamnet'
      model_filename =  YAMNET_PATH / model_url.split('/')[-1]
      
      if not model_filename.exists():
          PLIERS_DATA_PATH.mkdir(exist_ok=True)
          with request.urlopen(repo_url) as z:
              print('Downloading model repository...\n')
              with ZipFile(BytesIO(z.read())) as zfile:
                  zfile.extractall(str(tmp_dir))
          shutil.move(str(tmp_yamnet_dir), str(PLIERS_DATA_PATH))
          shutil.rmtree(str(tmp_dir))
          size = YAMNET_PATH.stat().st_size
          print(f'Model repository downloaded at {str(YAMNET_PATH)} '
                f', size: {size} bytes\n')
  
          request.urlretrieve(model_url, str(model_filename))
          print(f'Model file downloaded.\n')
  
      print(YAMNET_PATH)
      test_path = YAMNET_PATH / 'yamnet_test.py'
      sys.path.insert(0, str(YAMNET_PATH))
      os.chdir(YAMNET_PATH)
      runpy.run_path(str(test_path), run_name='__main__')
  
  if __name__ == '__main__':
      setup_yamnet()
  
subject: remove the debugging statement