text: #!/usr/bin/env python3
  import sys
  import random
  import math
  
  r = int(sys.argv[1])
  n = int(sys.argv[2])
  m = int(sys.argv[3])
  random.seed(int(sys.argv[-1]))
  
  assert 5000 >= r > n > m > 0
  assert m <= 50
  
  # Uniform distribution of trick times
  t = sorted(random.sample(range(1,n),m))
  
  # Random recovery times between 1 and 1000
  d = [random.randint(1,1000) for i in range(m)]
  
  # Logarithmic uniform distribution of the p_i which multiplies to approximately 1/49999
  maxlogp = math.log(49999)
  logp = sorted([random.uniform(0,maxlogp) for i in range(m)] + [0])
  p = [math.exp(logp[i] - logp[i+1]) for i in range(m)]
  
  print('%d %d %d' % (n, r, m))
  for i in range(m):
      print('%d %.6f %d' % (t[i], p[i] + 0.0000005, d[i]))
  
  