text: exec(open('./generate_graph.py').read())
  exec(open('./regularize_graph.py').read())
  exec(open('./generate_one_to_one_maps.py').read())
  exec(open('./generate_adversary_observations.py').read())
  exec(open('./generate_max_weight_matching.py').read())
  exec(open('./calculate_precision.py').read())
  
  n=100
  d=2
  ps=[0.20]
  num_trials=1
  header=['Fraction of Spies']
  for trial in range(num_trials):
    header.append('Trial '+str(trial)+' Precision')
  
  import csv
  with open('data-exact-u-d2-20-t57.csv', 'w', newline='') as csvfile:
    datawriter = csv.writer(csvfile, delimiter=',')
    datawriter.writerow(header)
  
  results=[]
  for p in ps:
    results.append([str(p)])
    for trial in range(num_trials):
      graph = generate_graph(n,p,d)
      graph = regularize_graph(graph,d)
      o2omp = generate_one_to_one_maps(graph)
      adobs = generate_adversary_observations(graph, o2omp)
      mwmat = generate_max_weight_matching(graph, d, adobs)
      prcsn = calculate_precision(adobs, mwmat)
      results[-1].append(str(prcsn))
    with open('data-exact-u-d2-20-t57.csv', 'a', newline='') as csvfile:
      datawriter = csv.writer(csvfile, delimiter=',')
      datawriter.writerow(results[-1])
  