text: #imports
  from multiprocessing import Pool
  from multiprocessing import cpu_count
  import time
  import os
  
  #function for stressing the cpu
  def f(x):
      cpi = 300000000
      stb = 0
      while True:
          if cpi <= stb:
              break
          stb = stb + 1
          x*x
      
  #starting the test
  if __name__ == '__main__':
      #checking the number of cpu cores available for multithreading stress test
      processes = int(cpu_count())
  
      #prints cores utailizing for multithreading
      print ('utilizing %d cores\nrunning 300 million instances, please wait around 3 min for test to finish' % processes)
  
      #starts a pool for multithreading by using all available processes or cpu cores
      pool = Pool(processes)
  
      #gets a time stamp for time spent
      start_time = time.time()
  
      #opens the pool
      pool.map(f, range(6))
  
      #gets elaspsed time
      elaspsed_time = time.time() - start_time
  
      #pool closes and terminates
      pool.close()
      pool.join()
  
      #calculates multithreaded score
      multithread_score = str(int(3000000000/(elaspsed_time*100000)))
      multitime = elaspsed_time
      
      #starts a pool for singlethread but only on a single core to get single threaded score's
      pool = Pool(1)
      
      #gets a time stamp for time spent
      start_time = time.time()
      
      #opens the pool 
      pool.map(f, range(6))
  
      #gets the elasped time
      elaspsed_time = time.time() - start_time
  
      #closes and terminates the pool
      pool.close()
      pool.join()
  
      #calculates single threaded score
      singlethread_score = str(int(3000000000/(elaspsed_time*100000)))
      singletime = elaspsed_time
  
      #prints both of the score's
      print ("your single threaded score is = "+ singlethread_score +" time taken in seconds " +str(singletime) +"\nyour multithreaded score is = " + multithread_score+" time taken in seconds " +str(multitime))
      print("\nhigher the number better the score")
  