new_contents: import argparse
  
  import pandas as pd
  import numpy as np
  
  def confidence(seq):
      mean = np.mean(seq)
      std = np.std(seq)
      runs = len(seq)
      interval = (1.96*std)/np.sqrt(runs)
      return mean, mean-interval, mean+interval
  
  def difference_with_confidence(a, b):
      mean_diff = np.mean(a) - np.mean(b)
      interval = 1.96*np.sqrt(np.std(a)/len(a)+np.std(b)/len(b))
      return mean_diff, int(mean_diff-interval), int(mean_diff+interval)
  
  def analyze_results(results):
      for col in results.columns:
          print(col, confidence(results[col]))
  
  def dump_results(results, path):
      results.to_csv(path)
  
  def load_results(path):
      return pd.read_csv(path)
  
  def main():
      pass
  
  if __name__ == '__main__':
      main()
  
subject: add missing file