text: 
  import argparse
  import glob
  
  import collections
  import math
  
  def perm_count(n,r):
      return math.factorial(n) // math.factorial(n - r)
  
  parser = argparse.ArgumentParser('count the number of sentences generated')
  parser.add_argument('pn', type=int, help='numper of proper names')
  parser.add_argument('rate', type=int, help='pruning rate')
  args = parser.parse_args()
  
  counts = collections.Counter()
  for file in glob.glob("./base_prop/*.scheme"):
      with open(file) as f:
          finput = f.read()
          lines = finput.splitlines()
          for line in lines:
              count = line.count("np")
              counts.update([count])
  
  counts_sorted = sorted(counts.most_common())
  
  total = 0
  for count,sen in counts_sorted:
      gen = (perm_count(args.pn,count) * sen) // args.rate
      print('np:{0}, sentence scheme: {1}, generated sentences: {2}'.format(count, sen, gen))
      total += gen
  
  print('total: {0}'.format(total))
  
  