new_contents: import cProfile
  import pstats
  import os.path
  
  from calm.pandas_time_series import PandasTimeSeries
  from calm.pandas_calculator import PandasCalculator
  from calm.jump_penalty_denoiser import JumpPenaltyDenoiser
  
  def main():
      noisy_ts = PandasTimeSeries()
      input_csv_path = os.path.join("..", "calm", "test_data",
                                    "noisy_simple_3state.csv")
      noisy_ts.load_csv(input_csv_path)
  
      calculator = PandasCalculator()
      jp_denoiser = JumpPenaltyDenoiser(calculator)
      denoised_ts = jp_denoiser.run_denoising(noisy_ts, square=True, gamma=0.1,
                                              noisy=True)
      # output_csv_path = os.path.join("test_data", "output_from_jp_test.csv")
      # denoised_ts.write_csv(output_csv_path)
      # print denoised_ts
  
  if __name__ == '__main__':
      filename = './profile_stats.stats'
      cProfile.run('main()', filename)
      stats = pstats.Stats(filename)
      stats.strip_dirs()
      stats.sort_stats('cumulative')
      stats.print_stats(20)
  
subject: Add profiling script.