old_contents: 
  import texttable as tt
  from math import sqrt
  from scipy import stats
  
  __author__ = 'javier'
  
  
  def report(results):
      tab = tt.Texttable()
      tab.header(['Benchmark', 'Input', 'Average', 'std dev %', 'std dev', 'runs', 'discarded'])
  
      tab.set_cols_align(['r','r', 'r','r', 'r', 'r', 'r'])
      tab.set_deco(tab.HEADER | tab.VLINES)
  
      for benchmark, measures in sorted(results.items()):
          reportBenchmark(tab, benchmark, measures)
  
      table = tab.draw()
      print (table)
  
  def reportBenchmark(tab, benchmark, measures):
  
      trimmed = stats.trimboth(sorted(measures), 0.1)
      runs = len(trimmed)
      average = sum(trimmed) / runs
      stddev  = sqrt(sum([(measure - average)**2 for measure in trimmed]))
      stddev_relative = stddev / average * 100
      tab.add_row([benchmark.version, benchmark.value, average, "%2.2f %%" % stddev_relative, stddev, len(measures), len(measures) - runs])
  
      tab.set_cols_width([35, 10, 10, 10, 10, 10, 10])
  
new_contents: 
  import texttable as tt
  from math import sqrt
  
  
  __author__ = 'javier'
  
  
  def report(results):
      tab = tt.Texttable()
      tab.header(['Benchmark', 'Input', 'Average', 'std dev %', 'std dev', 'runs', 'discarded'])
  
      tab.set_cols_align(['r','r', 'r','r', 'r', 'r', 'r'])
      tab.set_deco(tab.HEADER | tab.VLINES)
  
      for benchmark, measures in sorted(results.items()):
          reportBenchmark(tab, benchmark, measures)
  
      table = tab.draw()
      print (table)
  
  def reportBenchmark(tab, benchmark, measures):
  
      trimmed = trim_ends(sorted(measures), 0.1)
      runs = len(trimmed)
      average = sum(trimmed) / runs
      stddev  = sqrt(sum([(measure - average)**2 for measure in trimmed]))
      stddev_relative = stddev / average * 100
      tab.add_row([benchmark.version, benchmark.value, average, "%2.2f %%" % stddev_relative, stddev, len(measures), len(measures) - runs])
  
      tab.set_cols_width([35, 10, 10, 10, 10, 10, 10])
  
  def trim_ends(sorted_list, proportion_to_cut):
  
      size = len(sorted_list)
      left = int(proportion_to_cut * size)
      right = size - left
  
      return sorted_list[left:right]
  
subject: remove SciPy dependency