old_contents: from means.approximation.mea import MomentExpansionApproximation
  from means.examples.sample_models import MODEL_P53
  import time
  
  
  
  def get_time_for_n_mom(n):
      t0 = time.time()
      MomentExpansionApproximation(MODEL_P53, n, "normal").run()
      return time.time() - t0
  
  for n in range(2,9):
      print (n,get_time_for_n_mom(n))
new_contents: from means.approximation.mea import MomentExpansionApproximation
  from means.examples.sample_models import MODEL_P53
  import time
  
  
  
  def get_time_for_n_mom(n):
      t0 = time.time()
      MomentExpansionApproximation(MODEL_P53, n, "normal").run()
      return time.time() - t0
  
  for n in range(2,9):
      print (n,get_time_for_n_mom(n))
  
  #t = log10(c(.5,3,15,66,243)); n_mom = 1:length(t)
  #plot(t~n_mom,type = 'b', ylab="log_10(t)")
subject: update benchmark.py