code: def main(input_filename, format):
      
  
      # open the file & convert to wav
      song_data = AudioSegment.from_file(input_filename, format=format)
      song_data = song_data.set_channels(1)  # convert to mono
      wav_tmp = song_data.export(format="wav")  # write to a tmp file buffer
      wav_tmp.seek(0)
      rate, wav_data = wavfile.read(wav_tmp)
  
      rows_per_second = (1 + (rate - WIDTH)) // FRAME_STRIDE
  
      # Calculate a coarser window for matching
      window_size = (rows_per_second // TIME_STRIDE, (WIDTH // 2) // FREQ_STRIDE)
      peaks = resound.get_peaks(np.array(wav_data), window_size=window_size)
  
      # half width (nyquist freq) & half size (window is +/- around the middle)
      f_width = WIDTH // (2 * FREQ_STRIDE) * 2
      t_gap = 1 * rows_per_second
      t_width = 2 * rows_per_second
      fingerprints = resound.hashes(peaks, f_width=f_width, t_gap=t_gap, t_width=t_width)  # hash, offset pairs
  
      return fingerprints
docs: Calculate the fingerprint hashses of the referenced audio file and save
      to disk as a pickle file