new_contents: # use your python interpreter from your virtual environment
  
  import os
  import bob.bio.spear.preprocessor.Base
  
  def get_base_preprocessed_file(file_name):
      """
      @type file_name: String
      @return: (<Hertz>, <numpy array>)
      """
      project_base_dir = os.path.join(
          os.path.dirname(os.path.realpath(__file__)),
          os.pardir
      )
      audio_file_path = os.path.join(project_base_dir, "AudioFiles", file_name)
      base_preprocessor = bob.bio.spear.preprocessor.Base()
      return base_preprocessor.read_original_data(audio_file_path)
      #import pkg_resources
      #return base_preprocessor.read_original_data(pkg_resources.resource_filename('bob.bio.spear.test', 'data/sample.wav'))
  
  def extract_mfcc_60(base_preprocessed_data):
      """
      @type base_preprocessed_file:  (<Hertz>, <numpy array>)
      """    
      preprocessor = bob.bio.spear.preprocessor.Energy_2Gauss()
      #@type preprocessed_data: (<Herz>, <numpyArray>, <speaker vs. silence>)
      preprocessed_data = preprocessor(base_preprocessed_data)
      
      extractor = bob.bio.base.load_resource('mfcc-60', 'extractor')
      extracted = extractor(preprocessed_data)
      return extracted
      
  if __name__ == "__main__":
      base_pre_data = get_base_preprocessed_file("firat_speakerRecognitionWiki_16khz_mono.wav")
      print extract_mfcc_60(base_pre_data)
  
      
subject: add sandbox.py. A file which runs code similar to the test cases just to see whether our files can be processed by bob.bio.spear