text: from numpy import random
  
  from compound_poisson import fit
  from compound_poisson import multiprocess
  from compound_poisson.fit import wrapper
  import dataset
  
  def main():
      fitter = fit.downscale.FitterDownscaleDeepGp()
      data = dataset.IsleOfManTraining()
      seed = random.SeedSequence(335181766240425557327571375931666354614)
      Pool = multiprocess.Pool
      wrapper.downscale_fit(fitter, data, seed, Pool)
  
  if __name__ == "__main__":
      main()
  